CN108257104A - A kind of image processing method and mobile terminal - Google Patents

Abstract

The present invention provides an image processing method and a mobile terminal, wherein the method includes: identifying target content in a target picture, where the target content includes blackboard writing content and a ghost image of the blackboard writing content; acquiring a background color in the target picture; replacing the pixels in the target picture with the colors of pixels different from the background color except the pixels of the target content with the background color. The embodiment of the present invention can identify the blackboard writing content and the ghost of the blackboard writing content in the picture, and set the other pixels in the picture except the blackboard writing content and the ghosting of the blackboard writing content as the background color, so as to unify the picture The background color in the picture makes the background of the picture clean and tidy, which is convenient for users to view the blackboard content on the picture.

Description

Image processing method and mobile terminal

technical field

The present invention relates to the technical field of image processing, in particular to an image processing method and a mobile terminal.

Background technique

With the continuous development of electronic information technology, mobile terminals (such as smart phones, tablet computers, etc.) are more and more widely used, and become an indispensable necessity in the life or work of users. At present, mobile terminals generally have a camera function, and users can quickly record the information they need to record by taking pictures. For example, during a meeting or training, if the user needs to record the content written by the speaker on the glass whiteboard (that is, the content of the blackboard writing), he can use the camera function to take pictures of the content on the glass whiteboard, and record the content of the blackboard writing in the captured picture.

However, due to the optical characteristics of the glass whiteboard, the captured pictures may also include some specular reflection images (such as lights or people's specular reflection images), which will easily cause the background of the entire picture to be cluttered, and even affect the clarity of the content written on the blackboard.

It can be seen that in the prior art, the background of the picture obtained by recording the content on the glass whiteboard is messy, which makes it inconvenient for the user to view the content on the blackboard on the picture.

Contents of the invention

Embodiments of the present invention provide an image processing method and a mobile terminal to solve the problem in the prior art that the background of the picture obtained by recording the content on the glass whiteboard is messy, which causes inconvenience for users to view the content on the blackboard on the picture.

In order to solve the above-mentioned technical problems, the present invention is achieved in that a kind of image processing method comprises:

Recognizing the target content in the target picture, the target content includes blackboard writing content and a ghost image of the blackboard writing content;

Obtain the background color in the target image;

replacing the pixels in the target picture with the colors of pixels different from the background color except the pixels of the target content with the background color.

In a first aspect, an embodiment of the present invention provides an image processing method, including:

Recognizing the target content in the target picture, the target content includes blackboard writing content and a ghost image of the blackboard writing content;

Obtain the background color in the target image;

replacing the pixels in the target picture with the colors of pixels different from the background color except the pixels of the target content with the background color.

In a second aspect, an embodiment of the present invention provides a mobile terminal, including:

An identification module, configured to identify the target content in the target picture, where the target content includes blackboard writing content and a ghost of the blackboard writing content;

An acquisition module, configured to acquire the background color in the target picture;

The first replacement module is configured to replace the color of pixels in the target picture except the pixels of the target content and different from the background color with the background color.

In the third aspect, the embodiment of the present invention provides another mobile terminal, including a processor, a memory, and a computer program stored in the memory and operable on the processor, and the computer program is executed by the processor During execution, the steps of the above image processing method are realized.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned image processing method are implemented.

In this way, the embodiment of the present invention can identify the blackboard writing content and the ghost of the blackboard writing content in the picture, and set other pixels in the picture except the blackboard writing content and the ghosting of the blackboard writing content as the background color, Unify the background color of the picture, so that the background of the picture is clean and tidy, and it is convenient for users to view the blackboard content on the picture.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments of the present invention. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained based on these drawings without any creative effort.

FIG. 1 is a schematic diagram of a target picture provided by an embodiment of the present invention;

FIG. 2 is a flowchart of an image processing method provided by an embodiment of the present invention;

Fig. 3 is a flowchart of another image processing method provided by an embodiment of the present invention;

Fig. 4 is an effect diagram after the target picture shown in Fig. 1 is processed by the image processing method provided by the present invention;

FIG. 5 is a flowchart of another image processing method provided by an embodiment of the present invention;

FIG. 6 is a structural diagram of a mobile terminal provided by an embodiment of the present invention;

FIG. 7 is a structural diagram of another mobile terminal provided by an embodiment of the present invention;

FIG. 8 is a structural diagram of another mobile terminal provided by an embodiment of the present invention;

FIG. 9 is a structural diagram of another mobile terminal provided by an embodiment of the present invention;

FIG. 10 is a structural diagram of another mobile terminal provided by an embodiment of the present invention;

FIG. 11 is a structural diagram of another mobile terminal provided by an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

When you need to take pictures of the blackboard content on the glass whiteboard, you can use the camera function to take pictures of the content on the glass whiteboard. However, due to the optical properties of the glass whiteboard, the captured picture may also include some specular reflection images (such as lights or specular reflection images of people), as shown in FIG. 1 , which may easily cause the background of the entire picture to be cluttered. Based on the above background, various embodiments of the present invention are proposed.

Referring to FIG. 2, FIG. 2 is a flowchart of an image processing method provided by an embodiment of the present invention. The image processing method is applied to a mobile terminal, as shown in FIG. 2, and includes the following steps:

Step 201. Identify the target content in the target picture, where the target content includes blackboard writing content and a ghost image of the blackboard writing content.

In this step, the method identifies the target content in the target picture, the target picture is a picture obtained by shooting a glass whiteboard, and the target content includes blackboard writing content and a ghost image of the blackboard writing content. It can be understood that, due to the optical characteristics of the glass whiteboard, there will be ghost images on the content written on the glass whiteboard, but there will be no ghost images on the objects reflected on the glass whiteboard through the mirror surface. Therefore, in the embodiment of the present invention, by judging whether the image There is a corresponding ghosting mode to judge whether it is blackboard writing content, if the image has ghosting on the target picture, the method determines that the image content is the blackboard writing content on the glass whiteboard; on the contrary, if the image does not have ghosting on the target picture , the method determines that the image content is not blackboard writing content on the glass whiteboard.

Specifically, the method can identify the first image and the second image whose trajectory similarity is greater than a first preset threshold in the target picture, and if there is a first image whose trajectory similarity is greater than the first preset threshold in the target picture. image and a second image, the first image and the second image may be the same content on the target picture, for example, the mirror reflection image of the same object on a glass whiteboard, or blackboard writing on the target picture The ghosting of the content and blackboard content.

The method further judges whether the first image and the second image whose trajectory similarity is greater than the first preset threshold are ghost images of blackboard writing content and blackboard writing content. The method can judge whether the first image and the second image are ghosts of blackboard writing content and blackboard writing content by judging the pixel gray value relationship between the first image and the second image, or By judging the positional relationship between the first image and the second image, it is judged whether the first image and the second image are ghosts of blackboard writing content and blackboard writing content.

Specifically, the method may determine whether the pixel grayscale value of the first image is the same as the pixel grayscale value of the second image, if the pixel grayscale value of the first image is the same as that of the second image The pixel gray value is not the same, and the method determines that the first image and the second image are ghosts of blackboard writing content and blackboard writing content, that is, determining that the first image and the second image are target content; on the contrary Specifically, if the pixel grayscale value of the first image is the same as the pixel grayscale value of the second image, the method determines that the first image and the second image are not the target content. The method may also determine whether the distance between the first image and the second image is greater than a second preset threshold, if the distance between the first image and the second image is not greater than the first Two preset thresholds, the method determines that the first image and the second image are ghosts of blackboard writing content and blackboard writing content, that is, determining that the first image and the second image are target content; on the contrary, If the distance between the first image and the second image is greater than the second preset threshold, the method determines that the first image and the second image are not target content.

Step 202, acquire the background color in the target picture.

In this step, the method acquires the background color in the target picture. The method can determine that the color with the largest proportion in the target picture is the background color, and can also determine that the color with the most dense distribution in the target picture is the background color. For example, the target picture can be divided into multiple regions, wherein the color The same and adjacent pixels are divided into the same area, and then the color of the largest area in the target image is determined as the background color.

Step 203 , replacing the color of pixels in the target picture except the pixels of the target content that are different from the background color with the background color.

In this step, the method replaces the colors of the pixels in the target picture except the pixels of the target content that are different from the background color with the background color. Specifically, the method can delete the color of the pixel in the target picture except the pixel of the target content and is different from the background color, and then use the background color to fill the deleted color pixel. For example, in the picture shown in FIG. 1 , the colors of other parts except the word "test" and its shadow are all set as the background color.

In the embodiment of the present invention, the above-mentioned mobile terminal can be any mobile terminal, for example: mobile phone, tablet computer (Tablet Personal Computer), laptop computer (Laptop Computer), personal digital assistant (personaldigital assistant, PDA for short), mobile Internet access device (Mobile Internet Device, MID) or wearable device (Wearable Device), etc.

In this embodiment, the image processing method can identify the blackboard writing content and the ghost of the blackboard writing content in the picture, and set all other pixels in the picture except the blackboard writing content and the ghosting of the blackboard writing content to Set the background color to unify the background color in the picture, making the background of the picture clean and tidy, and making it easy for users to view the blackboard content on the picture.

Optionally, the acquiring the background color in the target picture includes:

Obtaining the colors of multiple pixels in the target image;

According to the colors of the plurality of pixels, determine that the color with the largest proportion in the target picture is the background color, or divide the target picture into multiple regions according to the colors of the plurality of pixels, and determine in the target picture The color of the largest area is the background color, where adjacent pixels of the same color are divided into the same area.

In this embodiment, the method for obtaining the background color in the target picture may be to determine the color with the largest proportion in the target picture as the background color, and the method may obtain the color values of multiple pixels in the target picture color, and then determine that the color with the largest proportion in the target picture is the background color according to the colors of the multiple pixels, and the multiple pixels can be all pixels in the target picture, or the target Some pixels in the image. Specifically, the method may acquire the color of each pixel in the target picture, and determine the color with the largest proportion in the target picture according to the color of each pixel in the target picture. For example, the color with the largest proportion (that is, the color with the largest proportion in the target picture) is determined as the background color according to the color of each pixel in the target picture. The method may also obtain the colors of some pixels in the target picture, and determine the color with the largest proportion in the target picture according to the colors of some pixels in the target picture. For example, sampling part of the pixels in the target picture, and then determining that the color with the largest proportion in the color of the part of the pixels is the color with the largest proportion in the target picture, that is, determining the proportion of the color of the part of the pixels The largest color is the background color of the target picture.

The method for obtaining the background color in the target picture may also be to determine the most densely distributed color in the target picture as the background color. The method may partition the target picture according to the colors of a plurality of pixels in the target picture, wherein pixels with the same color and adjacent to each other are divided into the same area, and then the color of the largest area in the target picture is determined to be background color. Specifically, the method can obtain the color of each pixel in the target picture, and then divide the target picture into multiple regions according to the colors of the multiple pixels, and divide the target picture into multiple regions. The division rule of the region is to divide adjacent pixels with the same color into the same region, and then determine the color of the largest region in the target picture as the background color.

Referring to FIG. 3, FIG. 3 is a flowchart of another image processing method provided by an embodiment of the present invention. The method is applied to a mobile terminal, as shown in FIG. 3, and includes the following steps:

Step 301. Identify the first image and the second image in the target picture whose trajectory similarity is greater than a first preset threshold.

In this step, the method identifies the first image and the second image whose track similarity is greater than the first preset threshold in the target picture, and if there is a track similarity greater than the first preset threshold in the target picture The first image and the second image, the first image and the second image may be the same content on the target picture, such as the specular emission image of the same object on a glass whiteboard, or may be the same content on the target picture The blackboard writing content and the ghosting of the blackboard writing content.

The first preset threshold may be 100%, that is, the first image is exactly the same as the second image, or it may be other values less than 100%, such as 80%. The ghost image of the content on the glass whiteboard may be blocked by other blackboard content, so the first preset threshold can be set to 80%, that is, only the first image is required to be mostly the same as the second image, and Exact sameness is not required.

Step 302, judging whether the pixel grayscale value of the first image is the same as the pixel grayscale value of the second image.

In this step, the method judges whether the pixel grayscale value of the first image is the same as the pixel grayscale value of the second image, if the pixel grayscale value of the first image is the same as the pixel grayscale value of the second image If the pixel grayscale values are the same, the process ends. On the contrary, if the pixel grayscale values of the first image and the pixel grayscale values of the second image are different, step 303 is executed. It can be understood that although the image of the ghost image is the same as the original image, the pixel gray values of the two are different, and the method can compare the pixel gray values of the first image and the second image to determine the difference between the first image and the second image. Whether the second image is a ghost relationship between blackboard writing content and blackboard writing content. If the pixel gray values of the two are the same, it means that there is no ghosting relationship between the two, and the process ends;

The pixel grayscale value of the first image may be the average grayscale value of a plurality of pixel points on the first image, and similarly, the pixel grayscale value of the second image may be a plurality of The average gray value of the pixel. The pixel grayscale value of the first image may also be the grayscale value of a certain pixel point on the first image, and correspondingly, the pixel grayscale value of the second image is equal to the pixel grayscale value on the second image. The gray value of the pixel point corresponding to the pixel point on the first image.

Step 303. Determine the first image and the second image as the target content.

In this step, if the pixel grayscale value of the first image is different from that of the second image, the method determines that the first image and the second image are blackboard writing content and blackboard writing content The ghost image, that is, determining the first image and the second image as the target content.

Step 304, acquire the background color in the target picture.

Step 305 , replacing the colors of the pixels in the target picture except the pixels of the target content that are different from the background color with the background color.

The steps 304 and 305 are the same as the steps 202 and 203 in the embodiment shown in FIG. 2 of the present invention, and will not be repeated here.

In this embodiment, the image processing method recognizes the blackboard writing content and the ghost image of the blackboard writing content in the picture by comparing the image track similarity and gray value, and removes the blackboard writing content and the blackboard writing content from the picture. The other pixels outside the ghost image of the content are all set as the background color to unify the background color of the picture, making the background of the picture clean and tidy, and convenient for users to view the blackboard writing content on the picture.

Optionally, after determining that the first image and the second image are the target content, the method further includes:

Determining that the first image and the image with a smaller pixel gray value in the second image are ghost images of blackboard content;

The color of the ghost image pixel in the target picture is replaced with the background color.

In this embodiment, the method further compares the size of the pixel gray value in the first image and the second image, and then determines the blackboard content and ghost according to the comparison result. It can be understood that the color of the ghost image will be weaker than that of the original image, and the method determines that an image with a smaller pixel gray value in the first image and the second image is a ghost image of blackboard content. For example, assuming that the pixel grayscale value of the first image is smaller than the pixel grayscale value of the second image, the method determines that the second image is blackboard content, and the first image is a ghost image of the second image . In this embodiment, the comparison of pixel gray values of the first image and the second image may be an average pixel value comparison, or a pixel value comparison of sampled pixels, which is not specifically limited in this embodiment.

In the method, after determining the ghost of the blackboard writing content, the color of the ghost image pixel in the target picture is further replaced with the background color. Specifically, the method may delete the color of the ghost image pixel in the target picture, and then use the background color to fill the pixel of the deleted color. For example, the ghost of the word "test" in the target picture shown in Figure 1 can be deleted, as shown in Figure 4, so that the content of the writing on the blackboard on the target picture can be made clearer, so that the user will not be affected by the ghost when viewing It is convenient for users to quickly and clearly view the content of blackboard writing.

Referring to FIG. 5, FIG. 5 is a flowchart of another image processing method provided by an embodiment of the present invention. The method is applied to a mobile terminal, as shown in FIG. 5, and includes the following steps:

Step 501. Identify the first image and the second image in the target picture whose trajectory similarity is greater than a first preset threshold.

This step 501 is the same as the step 301 in the embodiment shown in FIG. 3 of the present invention, and will not be repeated here.

Step 502, judging whether the distance between the first image and the second image is greater than a second preset threshold.

In this step, the method judges whether the distance between the first image and the second image is greater than a second preset threshold, if the distance between the first image and the second image is greater than the The second preset threshold, the process ends, on the contrary, if the distance between the first image and the second image is not greater than the second preset threshold, step 503 is executed. It is understandable that the ghosted image will be next to the original image. If the distance between the two is large, it means that there is no ghosting relationship between the two, and the process ends; on the contrary, if the distance between the two is small , it means that there is a shadow relationship between the two, and step 503 is executed.

The distance between the first image and the second image may be the average value of the distances between a plurality of pixels on the first image and the corresponding pixels on the second image, or it may be all The distance between a certain pixel on the first image and a pixel on the second image corresponding to the pixel on the first image is not specifically limited in this embodiment.

Step 503. Determine the first image and the second image as the target content.

In this step, if the distance between the first image and the second image is not greater than the second preset threshold, the method determines that the first image and the second image are blackboard writing content and blackboard writing Content ghosting, that is, determining the first image and the second image as target content.

Step 504, acquire the background color in the target picture.

Step 505 , replacing the color of the pixels in the target picture except the pixels of the target content and different from the background color with the background color.

The steps 504 to 505 are the same as the steps 202 to 202 in the embodiment shown in FIG. 2 of the present invention, and will not be repeated here.

In this embodiment, the image processing method recognizes the blackboard writing content in the picture and the ghost of the blackboard writing content in the picture by comparing the similarity of the image trajectory and the positional relationship between the images, and removes the blackboard writing content and the blackboard writing content from the picture. The other pixels except the ghost image of the blackboard content are set as the background color to unify the background color of the picture, making the background of the picture clean and tidy, which is convenient for users to view the content of the blackboard writing on the picture.

Optionally, after determining that the first image and the second image are the target content, the method further includes:

Determining that the first image and the image with a smaller pixel gray value in the second image are ghost images of blackboard content;

The color of the ghost image pixel in the target picture is replaced with the background color.

Referring to FIG. 6, FIG. 6 is a structural diagram of a mobile terminal provided by an embodiment of the present invention. As shown in FIG. 6, the mobile terminal 600 includes:

An identification module 601, configured to identify the target content in the target picture, the target content including blackboard writing content and a ghost image of the blackboard writing content;

An acquisition module 602, configured to acquire the background color in the target picture;

The first replacing module 603 is configured to replace the color of pixels in the target picture except the pixels of the target content that are different from the background color with the background color.

Optionally, refer to FIG. 7, which is a structural diagram of another mobile terminal provided by an embodiment of the present invention. As shown in FIG. 7, the identification module 601 includes:

The first identification unit 6011 is configured to identify the first image and the second image whose trajectory similarity is greater than a first preset threshold in the target picture;

A first judging unit 6012, configured to judge whether the pixel grayscale value of the first image is the same as the pixel grayscale value of the second image;

The first determining unit 6013 is configured to determine that the first image and the second image are the target content if the pixel grayscale value of the first image is different from the pixel grayscale value of the second image .

Optionally, refer to FIG. 8, which is a structural diagram of another mobile terminal provided by an embodiment of the present invention. As shown in FIG. 8, the identification module 601 includes:

The second identification unit 6014 is configured to identify the first image and the second image whose trajectory similarity is greater than a first preset threshold in the target picture;

A second judging unit 6015, configured to judge whether the distance between the first image and the second image is greater than a second preset threshold;

The second determination unit 6016 is configured to determine that the first image and the second image are the target if the distance between the first image and the second image is not greater than the second preset threshold content.

Optionally, refer to FIG. 9, which is a structural diagram of another mobile terminal provided by an embodiment of the present invention. As shown in FIG. 9, the mobile terminal 600 further includes:

A determining module 604, configured to determine that an image with a smaller pixel gray value in the first image and the second image is a ghost of blackboard content;

The second replacing module 605 is configured to replace the color of the ghost image pixel in the target picture with the background color.

Optionally, refer to FIG. 10, which is a structural diagram of another mobile terminal provided by an embodiment of the present invention. As shown in FIG. 10, the acquiring module 602 includes:

The first acquiring unit 6021 is configured to acquire the colors of multiple pixels in the target picture;

The third determination unit 6022 is configured to determine the color with the largest proportion in the target picture as the background color according to the colors of the plurality of pixels, or to divide the target picture into two parts according to the colors of the plurality of pixels A plurality of areas, determine the color of the largest area in the target picture as the background color, wherein the same color and adjacent pixels are divided into the same area.

Fig. 11 is a schematic diagram of the hardware structure of a mobile terminal implementing various embodiments of the present invention, the mobile terminal 1100 includes but not limited to: a radio frequency unit 1101, a network module 1102, an audio output unit 1103, an input unit 1104, a sensor 1105, and a display unit 1106, a user input unit 1107, an interface unit 1108, a memory 1109, a processor 1110, a power supply 1111 and other components. Those skilled in the art can understand that the structure of the mobile terminal shown in Figure 11 does not constitute a limitation on the mobile terminal, and the mobile terminal may include more or less components than shown in the figure, or combine some components, or different components layout. In the embodiment of the present invention, the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a vehicle-mounted terminal, a wearable device, and a pedometer.

Wherein, the processor 1110 is used for:

Recognizing the target content in the target picture, the target content includes blackboard writing content and a ghost image of the blackboard writing content;

Obtain the background color in the target image;

replacing the pixels in the target picture with the colors of pixels different from the background color except the pixels of the target content with the background color.

Optionally, the identification of the target content in the target picture performed by the processor 1110 includes:

identifying a first image and a second image whose track similarity in the target picture is greater than a first preset threshold;

judging whether the pixel grayscale value of the first image is the same as the pixel grayscale value of the second image;

If the pixel grayscale value of the first image is different from the pixel grayscale value of the second image, determine that the first image and the second image are the target content.

Optionally, the identifying the target content in the target picture executed by the processor 1110 includes:

identifying a first image and a second image whose track similarity in the target picture is greater than a first preset threshold;

judging whether the distance between the first image and the second image is greater than a second preset threshold;

If the distance between the first image and the second image is not greater than the second preset threshold, it is determined that the first image and the second image are the target content.

Optionally, after the processor 1110 determines that the first image and the second image are the target content, the following steps may also be implemented:

Determining that the first image and the image with a smaller pixel gray value in the second image are ghost images of blackboard content;

The color of the ghost image pixel in the target picture is replaced with the background color.

Optionally, the acquiring the background color in the target picture performed by the processor 1110 includes:

Obtaining the colors of multiple pixels in the target image;

Determine the color with the largest proportion in the target picture as the background color according to the colors of the multiple pixels, or divide the target picture into multiple regions according to the colors of the multiple pixels, and determine the target The color of the largest area in the image is the background color, where adjacent pixels of the same color are divided into the same area.

In the embodiment of the present invention, the mobile terminal can identify the blackboard writing content and the ghost image of the blackboard writing content in the picture, and set all other pixels in the picture except the blackboard writing content and the ghost image of the blackboard writing content as the background Color, unify the background color of the picture, make the background of the picture clean and tidy, and facilitate users to view the blackboard content on the picture.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 1101 can be used for receiving and sending signals during sending and receiving information or during a call. Specifically, the downlink data from the base station is received and processed by the processor 1110; Uplink data is sent to the base station. Generally, the radio frequency unit 1101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 1101 can also communicate with the network and other devices through a wireless communication system.

The mobile terminal provides users with wireless broadband Internet access through the network module 1102, such as helping users send and receive emails, browse web pages, and access streaming media.

The audio output unit 1103 may convert audio data received by the radio frequency unit 1101 or the network module 1102 or stored in the memory 1109 into an audio signal and output as sound. Also, the audio output unit 1103 can also provide audio output related to a specific function performed by the mobile terminal 1100 (for example, call signal reception sound, message reception sound, etc.). The audio output unit 1103 includes a speaker, a buzzer, a receiver, and the like.

The input unit 1104 is used to receive audio or video signals. The input unit 1104 may include a graphics processor (Graphics Processing Unit, GPU) 11041 and a microphone 11042, and the graphics processor 11041 is used for still pictures or video images obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The data is processed. The processed image frames may be displayed on the display unit 1106 . The image frames processed by the graphics processor 11041 may be stored in the memory 1109 (or other storage medium) or sent via the radio frequency unit 1101 or the network module 1102 . The microphone 11042 can receive sound, and can process such sound into audio data. The processed audio data may be converted into a format transmittable to a mobile communication base station via the radio frequency unit 1101 for output in the case of a phone call mode.

The mobile terminal 1100 also includes at least one sensor 1105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 11061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 11061 and the / or backlighting. As a kind of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when it is still, and can be used to identify the posture of mobile terminals (such as horizontal and vertical screen switching, related games, etc.) , magnetometer posture calibration), vibration recognition-related functions (such as pedometer, knocking), etc.; the sensor 1105 can also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, Infrared sensors, etc., will not be repeated here.

The display unit 1106 is used to display information input by the user or information provided to the user. The display unit 1106 may include a display panel 11061, and the display panel 11061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an organic light-emitting diode (Organic Light-Emitting Diode, OLED), or the like.

The user input unit 1107 can be used to receive input number or character information, and generate key signal input related to user settings and function control of the mobile terminal. Specifically, the user input unit 1107 includes a touch panel 11071 and other input devices 11072 . The touch panel 11071, also referred to as a touch screen, can collect touch operations of the user on or near it (for example, the user uses any suitable object or accessory such as a finger and a stylus on the touch panel 11071 or near the touch panel 11071 operate). The touch panel 11071 may include two parts, a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, and detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and sends it to the For the processor 1110, receive the command sent by the processor 1110 and execute it. In addition, the touch panel 11071 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 11071 , the user input unit 1107 may also include other input devices 11072 . Specifically, other input devices 11072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here.

Furthermore, the touch panel 11071 can be covered on the display panel 11061, and when the touch panel 11071 detects a touch operation on or near it, it will be sent to the processor 1110 to determine the type of the touch event, and then the processor 1110 will The type of event provides a corresponding visual output on the display panel 11061. Although in FIG. 11, the touch panel 11071 and the display panel 11061 are used as two independent components to realize the input and output functions of the mobile terminal, in some embodiments, the touch panel 11071 and the display panel 11061 can be integrated. The implementation of the input and output functions of the mobile terminal is not specifically limited here.

The interface unit 1108 is an interface for connecting an external device to the mobile terminal 1100 . For example, an external device may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, audio input/output (I/O) ports, video I/O ports, headphone ports, and more. The interface unit 1108 can be used to receive input from an external device (for example, data information, power, etc.) transfer data between devices.

The memory 1109 can be used to store software programs as well as various data. The memory 1109 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playback function, an image playback function, etc.); Data created by the use of mobile phones (such as audio data, phonebook, etc.), etc. In addition, the memory 1109 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

The processor 1110 is the control center of the mobile terminal, which uses various interfaces and lines to connect various parts of the entire mobile terminal, runs or executes software programs and/or modules stored in the memory 1109, and calls data stored in the memory 1109 , execute various functions of the mobile terminal and process data, so as to monitor the mobile terminal as a whole. The processor 1110 may include one or more processing units; preferably, the processor 1110 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application programs, etc., and the modem The processor mainly handles wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 1110 .

The mobile terminal 1100 can also include a power supply 1111 (such as a battery) for supplying power to various components. Preferably, the power supply 1111 can be logically connected to the processor 1110 through a power management system, so as to manage charging, discharging, and power consumption through the power management system. and other functions.

In addition, the mobile terminal 1100 includes some functional modules not shown, which will not be repeated here.

Preferably, the embodiment of the present invention also provides a mobile terminal, including a processor 1110, a memory 1109, a computer program stored in the memory 1109 and operable on the processor 1110, when the computer program is executed by the processor 1110 Each process of the above embodiment of the image processing method can achieve the same technical effect, so in order to avoid repetition, details are not repeated here.

The embodiment of the present invention also provides a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, each process of the above-mentioned image processing method embodiment is realized, and the same technology can be achieved. Effect, in order to avoid repetition, will not repeat them here. Wherein, the computer-readable storage medium is, for example, a read-only memory (Read-Only Memory, ROM for short), a random access memory (Random Access Memory, RAM for short), a magnetic disk or an optical disk, and the like.

It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products are stored in a storage medium (such as ROM/RAM, disk, CD) contains several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in various embodiments of the present invention.

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (12)

1. a kind of image processing method, applied to mobile terminal, which is characterized in that the method includes：

Identify the object content in Target Photo, the object content includes the ghost image of writing on the blackboard content and the writing on the blackboard content；

Obtain the background colour in the Target Photo；

By in the Target Photo in addition to the pixel of the object content, and with the face of the different pixel of the background colour Color replaces with the background colour.

2. image processing method as described in claim 1, which is characterized in that the object content in the identification Target Photo, Including：

Identify that track similarity is more than the first image and the second image of the first predetermined threshold value in the Target Photo；

Judge whether the grey scale pixel value of described first image is identical with the grey scale pixel value of second image；

If the grey scale pixel value of described first image and the grey scale pixel value of second image differ, first figure is determined Picture and second image are the object content.

3. image processing method as described in claim 1, which is characterized in that the object content in the identification Target Photo, Including：

Identify that track similarity is more than the first image and the second image of the first predetermined threshold value in the Target Photo；

Judge whether the distance between described first image and second image are more than the second predetermined threshold value；

If the distance between described first image and second image are not more than second predetermined threshold value, described first is determined Image and second image are the object content.

4. image processing method as claimed in claim 2 or claim 3, which is characterized in that the determining described first image and institute The second image is stated as after the object content, the method further includes：

Determine ghost image of the smaller image of grey scale pixel value for writing on the blackboard content in described first image and second image；

The color of image slices vegetarian refreshments for ghost image in the Target Photo is replaced with into the background colour.

5. image processing method as described in any one of claims 1 to 3, which is characterized in that described to obtain the Target Photo In background colour, including：

Obtain the color of multiple pixels in the Target Photo；

According to the color of the multiple pixel determine the color of ratio maximum in the Target Photo for background colour or according to The Target Photo is divided into multiple regions by the color of the multiple pixel, determines maximum region in the Target Photo Color is background colour, wherein, the identical and adjacent pixel of color is divided into same region.

6. a kind of mobile terminal, which is characterized in that the mobile terminal includes：

Identification module, for identifying the object content in Target Photo, the object content includes writing on the blackboard content and the plate The ghost image of book content；

Acquisition module, for obtaining the background colour in the Target Photo；

First replacement module, for by the Target Photo in addition to the pixel of the object content, and with the background colour The color of different pixel replaces with the background colour.

7. mobile terminal as claimed in claim 6, which is characterized in that the identification module, including：

First recognition unit, for identify track similarity in the Target Photo be more than the first image of the first predetermined threshold value with And second image；

First judging unit, the grey scale pixel value for judging the grey scale pixel value and second image of described first image are It is no identical；

First determination unit, if the grey scale pixel value not phase of grey scale pixel value and second image for described first image Together, determine that described first image and second image are the object content.

8. mobile terminal as claimed in claim 6, which is characterized in that the identification module, including：

Second recognition unit, for identify track similarity in the Target Photo be more than the first image of the first predetermined threshold value with And second image；

Second judgment unit, for judging it is default whether the distance between described first image and second image are more than second Threshold value；

Second determination unit, if default no more than described second for the distance between described first image and second image Threshold value determines that described first image and second image are the object content.

9. mobile terminal as claimed in claim 7 or 8, which is characterized in that the mobile terminal further includes：

Determining module, for determining that the smaller image of grey scale pixel value is writing on the blackboard in described first image and second image The ghost image of content；

Second replacement module, for the color of the image slices vegetarian refreshments for ghost image in the Target Photo to be replaced with the background Color.

10. such as claim 6 to 8 any one of them mobile terminal, which is characterized in that the acquisition module, including：

First acquisition unit, for obtaining the color of multiple pixels in the Target Photo；

Third determination unit, for determining the color of ratio maximum in the Target Photo according to the color of the multiple pixel The Target Photo is divided into multiple regions for background colour or for the color according to the multiple pixel, determines institute The color for stating maximum region in Target Photo is background colour, wherein, the identical and adjacent pixel of color is divided into same area Domain.

11. a kind of mobile terminal, which is characterized in that including processor, memory is stored on the memory and can be described The computer program run on processor is realized when the computer program is performed by the processor as in claim 1 to 5 The step of any one of them image processing method.

12. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium Program realizes the image processing method as described in any one of claim 1 to 5 when the computer program is executed by processor The step of.