CN115049636A - Computer image processing method - Google Patents

Abstract

The invention discloses a computer image processing method. The invention performs preprocessing operations on the acquired images, and the preprocessing includes defect detection correction, sharpening processing, smoothness processing, aperture correction processing, denoising filtering processing and contrast enhancement processing , Defect detection and correction By building a deep convolutional neural network model to identify defects in the collected images, extract defect features, and then correct them and combine them with conventional sharpening, smoothness, aperture correction, and denoising filtering. Combined with contrast enhancement processing, it can eliminate irrelevant information in the image, restore useful real information, enhance the detectability of relevant information and simplify data to the greatest extent, thereby improving the reliability of feature extraction, image segmentation, matching and recognition. The clarity of the image makes the image display quality higher and the user experience better.

Description

A computer image processing method

technical field

The invention relates to the technical field of computer image processing, in particular to a computer image processing method.

Background technique

Computer image processing, also known as digital image processing, refers to the process of converting image signals into digital signals and using computers to process them. With the rapid development of computer technology, computer image processing has been widely used in all aspects of human social life. For example: industrial testing, medicine, intelligent robots, etc., no matter in which field, people like to use images to describe and express the characteristics and logical relationships of things. Therefore, the development of computer image processing technology and its requirements are increasingly important.

The process of computer image processing is usually divided into image information acquisition and storage, image information transmission, image information preprocessing, image information processing, and image information output and display. There are certain problems in the acquired image, and at the same time, due to the requirements of operation, the image needs to be converted to a certain extent, so before processing the image, it is necessary to preprocess the image to facilitate the later operation. However, the traditional computer image processing method The preprocessing effect of the camera is poor, and the processing effect is poor for the problems such as unclear image or even lack of image information caused by the light in the environment, the dust on the lens surface and the unstable transmission signal when the image is taken, and the final displayed image is often of low quality. Therefore, it is necessary to invent a new computer image processing method to solve the above-mentioned problems.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a computer image processing method to solve the above-mentioned problems in the background art.

To achieve the above object, the present invention provides the following technical solutions:

A computer image processing method, the processing method comprising the following steps:

S1: Image information acquisition, first acquire image information and convert the image signal into a digital signal suitable for input into a computer or digital device;

S2: image information storage, and then transmit the acquired image information digital signal to the computer image information storage medium;

S3: image information transmission, and then the graphics information is transmitted to the graphics information preprocessing unit through the image information transmission unit;

S4: image information preprocessing, performing defect detection and correction, sharpening processing, smoothness processing, aperture correction, denoising filtering and contrast enhancement processing on the acquired image information;

S5: image information processing, which sequentially performs geometric processing, arithmetic processing, image enhancement, image coding, image recognition and image understanding processing on the preprocessed image information;

S6: image information output, the processed image information is output to the memory by means of hard copy or soft copy;

S7: Image information display, and finally display the output image information through the computer display screen.

As a further solution of the present invention: the image information acquisition equipment includes a television camera, a flying spot scanner, a scanning drum, a scanner and a microscopic densitometer.

As a further scheme of the present invention: the image information storage device includes a magnetic tape, a magnetic disk or an optical disc, when the magnetic tape is used as the image information storage device, the computer needs to be connected with the digital video camera, and the image information is stored in the magnetic tape by the digital video camera, When using an optical disc as an image information storage device, it is necessary to connect the computer with VCD, DVD and other electrical devices that can play optical discs.

As a further solution of the present invention: the image information transmission unit includes system internal transmission and long-distance transmission, the internal transmission of the system adopts electrical signal transmission, and the long-distance transmission adopts Internet remote transmission.

As a further solution of the present invention: the defect detection and correction is to first find out the original defect data of the image, and make a training set of original images with defects or find original images without defects, and make a training set of original images without defects, and then carry out Deep convolutional neural network training, constructing a trained deep convolutional neural network model to identify defects in the collected images, extract defect features, and then correct them.

As a further solution of the present invention: the geometric processing mainly includes coordinate transformation, image enlargement, reduction, rotation and movement, multiple image registration, panoramic distortion correction, distortion correction, perimeter, area and volume calculation.

As a further solution of the present invention: the arithmetic processing mainly applies operations such as addition, subtraction, multiplication, and division to the image.

As a further solution of the present invention: the image enhancement processing mainly highlights the information of interest in the image, and weakens or removes the unnecessary information, thereby enhancing the useful information and facilitating the distinction or interpretation.

As a further solution of the present invention: the main purpose of the image restoration processing is to remove interference and blur and restore the original appearance of the image.

Compared with the prior art, the beneficial effects of the present invention are:

The present invention performs preprocessing operations on the acquired images. The preprocessing includes defect detection and correction, sharpening processing, smoothness processing, aperture correction processing, denoising filtering processing and contrast enhancement processing. The model identifies defects in the collected images, extracts defect features, then corrects them and cooperates with conventional sharpening, smoothness, aperture correction, denoising filtering and contrast enhancement to eliminate irrelevant features in the image. information, recover useful real information, enhance the detectability of relevant information and simplify the data to the greatest extent, thereby improving the reliability of feature extraction, image segmentation, matching and recognition, improving the clarity of the image, and making the image display higher quality , the user experience is better.

Detailed ways

The technical solutions in the embodiments of the present invention will be described clearly and completely below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

In an embodiment of the present invention, a computer image processing method includes the following steps:

S1: Image information acquisition, first acquire image information and convert the image signal into a digital signal suitable for input into a computer or digital device;

S2: image information storage, and then transmit the acquired image information digital signal to the computer image information storage medium;

S3: image information transmission, and then the graphics information is transmitted to the graphics information preprocessing unit through the image information transmission unit;

S4: image information preprocessing, performing defect detection and correction, sharpening processing, smoothness processing, aperture correction, denoising filtering and contrast enhancement processing on the acquired image information;

S5: image information processing, which sequentially performs geometric processing, arithmetic processing, image enhancement, image coding, image recognition and image understanding processing on the preprocessed image information;

S6: image information output, the processed image information is output to the memory by means of hard copy or soft copy;

S7: Image information display, and finally display the output image information through the computer display screen.

Image information acquisition equipment includes television cameras, flying spot scanners, scanning drums, scanners and micro-densitometers.

Image information storage devices include magnetic tapes, magnetic disks or optical discs. When using magnetic tapes as image information storage devices, it is necessary to connect a computer to a digital video camera, and store image information in the magnetic tape through the digital video cameras. When using optical discs as image information storage devices, It is necessary to connect the computer with VCD, DVD and other electrical devices that can play optical discs.

The image information transmission unit includes the internal transmission of the system and the long-distance transmission. The internal transmission of the system adopts the mode of electrical signal transmission, and the long-distance transmission adopts the remote transmission of the Internet.

Defect detection and correction is to first find out the original defect data of the image, and create a training set of defective original images or find original images without defects, and create a training set of non-defective original images, and then perform deep convolutional neural network training. The deep convolutional neural network model is used to identify defects in the collected images, extract defect features, and then correct them.

Geometric processing mainly includes coordinate transformation, image enlargement, reduction, rotation, movement, multiple image registration, panoramic distortion correction, distortion correction, perimeter, area and volume calculation.

Arithmetic processing mainly applies operations such as addition, subtraction, multiplication, and division to images.

Image enhancement processing is mainly to highlight the information of interest in the image, and weaken or remove the unwanted information, so that the useful information can be enhanced, which is easy to distinguish or explain.

The main purpose of image restoration processing is to remove interference and blur and restore the original appearance of the image.

The image denoising filter adopts an adaptive weighted mean filter module, which determines the texture direction by detecting the variance in different directions in the filter window, thereby automatically generating the corresponding weighting coefficients, which can perform pipeline weighting on images with a width of no more than 4094 pixels. Mean filter processing to achieve the purpose of denoising and edge preservation.

Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, it is still possible to modify the technical solutions described in the foregoing embodiments, or to perform equivalent replacements for some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (9)

1. a computer image processing method, its processing method comprises the following steps, S1: Image information acquisition, first acquire image information and convert the image signal into a digital signal suitable for input into a computer or digital device; S2: image information storage, and then transmit the acquired image information digital signal to the computer image information medium; S3: image information transmission, and then the graphics information is transmitted to the graphics information preprocessing unit through the image information transmission unit; S4: image information preprocessing, performing defect detection and correction, sharpening processing, smoothness processing, aperture correction, denoising filtering and contrast enhancement processing on the acquired image information; S5: image information processing, which sequentially performs geometric processing, arithmetic processing, image enhancement, image coding, image recognition and image understanding processing on the preprocessed image information; S6: image information output, the processed image information is output to the memory by means of hard copy or soft copy; S7: Image information display, and finally display the output image information through the computer display screen. 2 . The computer image processing method according to claim 1 , wherein the image information acquisition equipment includes a television camera, a flying spot scanner, a scanning drum, a scanner and a micro-densitometer. 3 . 3. A computer image processing method according to claim 1, wherein the image information storage device comprises a magnetic tape, a magnetic disk or an optical disk. 4 . The computer image processing method according to claim 1 , wherein the image information transmission unit includes system internal transmission and long-distance transmission. 5 . 5. A computer image processing method according to claim 1, characterized in that: the defect detection and correction is to first find out the original defect data of the image, and make a training set of defect original images or find out the original image without defects , and make a non-defective original image training set, and then perform deep convolutional neural network training, build a trained deep convolutional neural network model to identify defects in the collected images, extract defect features, and then correct them. 6. A computer image processing method according to claim 1, wherein the geometric processing mainly includes coordinate transformation, image enlargement, reduction, rotation, movement, multiple image registration, panoramic distortion correction, distortion Correction, perimeter, area and volume calculations. 7 . The computer image processing method according to claim 1 , wherein the arithmetic processing mainly applies operations such as addition, subtraction, multiplication, and division to the image. 8 . 8. A computer image processing method according to claim 1, characterized in that: the image enhancement processing mainly highlights the information of interest in the image, and weakens or removes unnecessary information, thereby enhancing useful information , easy to distinguish or explain. 9 . The computer image processing method according to claim 1 , wherein the main purpose of the image restoration processing is to remove interference and blur and restore the original appearance of the image. 10 .