CN111351396A - Laser simulated shooting target image acquisition processing method and device - Google Patents
Laser simulated shooting target image acquisition processing method and device Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F41—WEAPONS
- F41A—FUNCTIONAL FEATURES OR DETAILS COMMON TO BOTH SMALLARMS AND ORDNANCE, e.g. CANNONS; MOUNTINGS FOR SMALLARMS OR ORDNANCE
- F41A33/00—Adaptations for training; Gun simulators
- F41A33/02—Light- or radiation-emitting guns ; Light- or radiation-sensitive guns; Cartridges carrying light emitting sources, e.g. laser
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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- G06T7/136—Segmentation; Edge detection involving thresholding
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract
The invention relates to the technical field of laser simulated shooting and intelligent image recognition, and discloses a method and a device for collecting and processing a target image of laser simulated shooting, wherein the method comprises the following steps: collecting a first image, wherein the first image contains a target paper area formed after laser simulated shooting; extracting a target paper area in the acquired first image; extracting a portrait area in the extracted target paper area; extracting a target ring boundary zone from the extracted portrait zone; extracting a central region and a digital region of the target ring from the extracted portrait region; extracting a bullet hole area from the extracted portrait area; and calculating the coordinates and the ring position of the bullet hole area. The method realizes the acquisition, identification and processing of the laser simulated shooting target ring, has high processing efficiency and accurate processing result, is favorable for greatly improving the training efficiency and the training level of simulated shooting, and improves the shooting skill of trainees.
Description
Technical Field
The invention relates to the technical field of laser simulated shooting and intelligent image recognition, in particular to a method and a device for collecting and processing a target image of laser simulated shooting.
Background
At present, the traditional training method, namely 'five-step shooting method' (fixed gun aiming, reduced distance target-reducing aiming, four-point aiming, gun aiming firing and live ammunition shooting), is generally adopted for training the small arms of troops, public security and athletes, but the 'five-step shooting method' is a practical and effective training method proved by practice, but the training method is a training method completely without the assistance of high-tech equipment in the past, and the 'five-step shooting method' has the problems of poor reality sense, low training efficiency, long skill forming period, insufficient skill precision, great difficulty in training the refined and systematic organization of coaches and the like in the present day that related scientific technology is continuously developed.
Most laser simulation training products on the market at present basically stay in a simple simulation shooting process, and have far-ranging practical training requirements for 'impact distribution rate', 'historical playback', 'data chart analysis', 'big data management' and the like required by tissue training.
The present mature technologies such as laser simulation, image recognition, big data management and the like are urgently needed to be utilized, so that the shooting training is well assisted, the shooting sense of reality is simulated, the competitive atmosphere of a training field is enhanced, the enthusiasm of shooters in training is promoted, the shooting efficiency is improved, and the purposes of high efficiency, rapidness, fineness, systematicness and comprehensive training are achieved.
Disclosure of Invention
The application provides a laser simulated shooting target image collecting and processing method and device, which can collect, process and analyze a target image formed after laser simulated shooting, so that coordinates of shot holes of the laser simulated shooting and ring positions of the shot holes are quickly and accurately obtained, and laser simulated shooting scores are further obtained.
In a first aspect, the present application provides a method for collecting and processing a laser simulated shooting target image, including:
collecting a first image, wherein the first image contains a target paper area formed after laser simulated shooting;
extracting a target paper area in the acquired first image;
extracting a portrait area in the extracted target paper area;
extracting a target ring boundary zone from the extracted portrait zone;
extracting a central region and a digital region of the target ring from the extracted portrait region;
extracting a bullet hole area from the extracted portrait area;
and calculating the coordinates and the ring position of the bullet hole area.
Further, the first image includes a blank area and a target paper area formed after simulated laser shooting, and the extracting of the target paper area in the collected first image includes:
and according to the different colors of the blank area and the target paper area, extracting all the blank areas in the first image by utilizing threshold segmentation to obtain the target paper area.
Further, the color of the blank area is white.
Further, the extracting of the portrait area in the extracted target paper area comprises:
and extracting the portrait area in the target paper area by utilizing threshold segmentation according to the difference of colors of the portrait area and other areas except the portrait area in the target paper area to obtain the portrait area.
Further, the portrait area is black.
Further, said extracting target ring boundary zone region within said extracted portrait region comprises:
the median filtering process is carried out on the portrait area,
and extracting the target ring boundary zone by utilizing threshold segmentation according to the different colors of the target ring boundary zone of the portrait zone and other zones in the portrait zone to obtain the target ring boundary zone.
Further, the extracting of the central region and the digital region of the target ring from the extracted portrait region includes:
extracting the digital region by utilizing threshold segmentation according to the difference of the colors of the digital region of the portrait region and other regions in the portrait region to obtain the digital region;
and extracting the central area of the target ring by utilizing threshold segmentation according to the difference of the colors of the central area of the target ring in the portrait area and other areas in the portrait area to obtain the central area of the target ring.
Further, the extracting of the bullet hole area in the extracted portrait area comprises:
and (4) extracting a bullet hole area from the portrait area through local mean and standard deviation analysis.
Further, the calculating the coordinates and the ring position of the bullet hole area includes:
establishing a datum point template;
matching the extracted bullet hole area with the reference point template and generating an affine transformation relation;
obtaining the central point of the bullet hole by the extracted bullet hole area through an algorithm;
and displaying the bullet hole area at a specified coordinate position through the affine transformation relation and obtaining the ring position.
In a second aspect, the present application provides a laser simulated shooting target image collecting and processing device, comprising:
the first image acquisition module is used for acquiring a first image, and the first image contains a target paper area formed after laser simulated shooting;
the target paper area extraction module is used for extracting a target paper area in the first image acquired by the first image acquisition module;
the portrait area extraction module is used for extracting a portrait area from the target paper area extracted by the target paper area extraction module;
the target ring boundary zone extraction module is used for extracting a target ring boundary zone from the portrait zone extracted by the portrait zone extraction module;
the target ring central area and digital area extraction module is used for extracting the target ring central area and the digital area from the portrait area extracted by the portrait area extraction module;
the bullet hole region extraction module is used for extracting a bullet hole region from the portrait region extracted by the portrait region extraction module;
and the calculation module is used for calculating the coordinates and the ring positions of the bullet hole areas.
Compared with the prior art, the laser simulated shooting target image acquisition processing method and device provided by the application are provided; the acquisition and processing of the laser simulated shooting target image are realized, the processing efficiency is high, the processing result is accurate, the training efficiency and the training level of simulated shooting are greatly improved, and the shooting capability of a trainee is improved.
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FIG. 1 is a schematic flow chart of a target image acquisition and processing method for laser simulated shooting according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating step S7 according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a laser simulated shooting target image acquisition and processing device provided by the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The same or similar reference numerals in the drawings of the present embodiment correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", etc. based on the orientation or positional relationship shown in the drawings, it is only for convenience of describing the present invention and simplifying the description, but it is not intended to indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and are not to be construed as limiting the present patent, and the specific meaning of the terms may be understood by those skilled in the art according to specific circumstances.
The following describes the implementation of the present invention in detail with reference to specific embodiments.
Referring to fig. 1-3, preferred embodiments of the present invention are provided.
The target image collecting and processing method for laser simulated shooting provided by the embodiment is specially used for processing an image obtained by collecting an image of target paper obtained after laser simulated shooting, the target paper has a portrait simulating a human body image, and the portrait area comprises a target ring boundary belt area, a target ring center area, a digital area and a bullet hole area.
A laser simulated shooting target image acquisition and processing method is characterized by comprising the following steps:
and S1, acquiring a first image, wherein the first image contains a target paper area formed after laser simulated shooting.
The target paper area included in the first image is a target paper image formed after the laser simulated shooting training, and the shooting result of the laser simulated shooting training can be obtained by analyzing the target paper area.
And S2, extracting a target paper area in the acquired first image.
Specifically, the first image includes a blank area and a target paper area formed after laser simulated shooting, and the target paper area is extracted from the acquired first image, which specifically includes:
and according to the different colors of the blank area and the target paper area, extracting all the blank areas in the first image by utilizing threshold segmentation to obtain the target paper area.
Preferably, the blank area is white, and the specific method for obtaining the target paper area by extracting all the blank areas in the first image by using threshold segmentation is as follows:
using an operator: threshold (Image: Region: MinGray, MaxGray:), obtaining the expected Region, namely the target paper Region, wherein Image represents the input first Image, Region represents the segmented target paper Region, MinGray is the minimum gray value used for screening the target paper Region, and MaxGray is the maximum gray value used for screening the target paper Region; the target paper area is a collection of all pixels containing a given range of gray values.
And S3, extracting a portrait area in the extracted target paper area.
Specifically, within the extracted target paper region, a portrait region is extracted, including:
and extracting the portrait area in the target paper area by utilizing threshold segmentation according to the difference of colors of the portrait area and other areas except the portrait area in the target paper area to obtain the portrait area.
Specifically, after the target paper area is acquired, an operator is used for: reduce _ domain (Image, Region: Imagereduced:),
acquiring a target paper Image definition domain corresponding to the target paper area in the Image definition domain, wherein Image is an input original Image, Region is a Region for defining a new Image definition domain (namely the target paper area acquired here), and Imagereduce is a new Image (namely the target paper Image needed here)
The portrait area is further obtained by global threshold segmentation, i.e. operator threshold (Image: Region: MinGray, MaxGray:).
Preferably, the portrait area is black.
And S4, extracting a target ring boundary zone in the extracted portrait zone.
Extracting a target ring boundary zone region from the extracted portrait region, specifically comprising:
the median filtering process is carried out on the portrait area,
and extracting the target ring boundary zone by utilizing threshold segmentation according to the different colors of the target ring boundary zone of the portrait zone and other zones in the portrait zone to obtain the target ring boundary zone.
The method comprises the following steps: after the portrait region is obtained, an operator is utilized
median_rect(Image:ImageMedian:MaskWidth,MaskHeight:)
The region of the portrait is median filtered,
image is the input Image (i.e. the portrait area here), imagemedia is the output result Image, i.e. the median filtered Image, and MaskWidth and maskhight are the width and height of the rectangular mask. The operator calculates the gray values of all pixels in the mask, and takes the median of the gray values of all pixels in the mask as the gray value of the mask area;
after median filtering, some noise points in the portrait region can be suppressed, and a reference image is further provided for dynamic threshold segmentation;
further, using operators
dyn_threshold(OrigImage,ThresholdImage:RegionDynThresh:Offset,LightDark:)；
Originimage, which is the input original image (i.e., portrait region here), threshold image, which is the input contrast image (i.e., median filtered image here), RegionDynThresh, which is the result region (i.e., the expected target ring boundary band region),
offset is a threshold Offset value that is,
LightDark is an optional operator operation mode, including "light", "dark", "equal", "not _ equal";
the operator selects pixels with gray values meeting conditions from the input image and forms a region; the conditions were as follows:
assuming that the gray value of a pixel of an original image is go g _ { origin }, the gray value of a contrast image is gt g _ { threshold image }, and if the condition is light, go is more than or equal to gt + Offset;
when LightDark is equal to "dark", go is less than or equal to gt-Offset;
when LightDark is equal to "equivalent", gt-Offset is not less than go not more than gt + Offset;
go > gt + Offset or go < gt-Offset when LightDark ═ not _ equivalent
Preferably, the target ring demarcation strip area is white, so the LightDark operation mode selects "light", thereby resulting in a target ring demarcation strip area;
and S5, extracting the central area and the digital area of the target ring in the extracted portrait area.
In the extracted portrait region, extracting a central region and a digital region of the target ring, specifically comprising:
extracting the digital region by utilizing threshold segmentation according to the difference of the colors of the digital region of the portrait region and other regions in the portrait region to obtain the digital region;
and extracting the central area of the target ring by utilizing threshold segmentation according to the difference of the colors of the central area of the target ring in the portrait area and other areas in the portrait area to obtain the central area of the target ring.
And S6, extracting a bullet hole area in the extracted portrait area.
In the extracted portrait area, extracting a bullet hole area, specifically including:
and (4) extracting a bullet hole area from the portrait area through local mean and standard deviation analysis.
Specifically, the newly added single laser point area is obtained as the bullet hole area by respectively differentiating the transformed target paper area, the reference portrait area, the reference target ring boundary area, the reference target ring center area, the reference target ring digital area and the reference target ring definition belt area with the target ring boundary belt area, the target ring center area, the target ring digital area and the target ring definition belt area obtained from the real-time image.
And S7, calculating coordinates and ring positions of the bullet hole areas.
The specific calculation method comprises the following steps:
s71, establishing a datum point template;
s72, matching the extracted bullet hole area with the reference point template and generating an affine transformation relation;
s73, obtaining the central point of the bullet hole by the extracted bullet hole area through an algorithm;
and S74, displaying the bullet hole area at a specified coordinate position through the affine transformation relation and obtaining the ring position.
The invention also provides a laser simulated shooting target image acquisition and processing device, which comprises:
the first image acquisition module 10 is used for acquiring a first image, and the first image contains a target paper area formed after laser simulated shooting;
a target paper area extracting module 20, configured to extract a target paper area in the first image acquired by the first image acquiring module 10;
a portrait area extraction module 30, configured to extract a portrait area from the target paper area extracted by the target paper area extraction module 20;
a target ring boundary zone extraction module 40, configured to extract a target ring boundary zone from the portrait zone extracted by the portrait zone extraction module 30;
a target ring center region and digital region extraction module 50, configured to extract a target ring center region and a digital region from the portrait region extracted by the portrait region extraction module 30;
a bullet hole region extraction module 60, configured to extract a bullet hole region from the portrait region extracted by the portrait region extraction module 30;
and the calculating module 70 is used for calculating the coordinates and the ring position of the bullet hole area.
The application provides a method and a device for collecting and processing a laser simulated shooting target image; the acquisition and processing of the laser simulated shooting target image are realized, the processing efficiency is high, the processing result is accurate, the training efficiency and the training level of simulated shooting are greatly improved, and the shooting capability of a trainee is improved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A laser simulated shooting target image acquisition and processing method is characterized by comprising the following steps:
collecting a first image, wherein the first image contains a target paper area formed after laser simulated shooting;
extracting a target paper area in the acquired first image;
extracting a portrait area in the extracted target paper area;
extracting a target ring boundary zone from the extracted portrait zone;
extracting a central region and a digital region of the target ring from the extracted portrait region;
extracting a bullet hole area from the extracted portrait area;
and calculating the coordinates and the ring position of the bullet hole area.
2. The method as claimed in claim 1, wherein the first image includes a blank area and a target paper area formed after simulated laser shooting, and the extracting the target paper area in the first image includes:
and according to the different colors of the blank area and the target paper area, extracting all the blank areas in the first image by utilizing threshold segmentation to obtain the target paper area.
3. The method as claimed in claim 2, wherein the blank area is white.
4. The method for collecting and processing the target image of the laser simulated shooting as claimed in claim 1, wherein the step of extracting the portrait area in the extracted target paper area comprises the following steps:
and extracting the portrait area in the target paper area by utilizing threshold segmentation according to the difference of colors of the portrait area and other areas except the portrait area in the target paper area to obtain the portrait area.
5. The method for collecting and processing the target image of laser simulated shooting as claimed in claim 4, wherein said portrait area is black.
6. The method for collecting and processing the target image of the laser simulated shooting as claimed in claim 1, wherein the step of extracting the target ring boundary zone region from the extracted portrait region comprises the steps of:
the median filtering process is carried out on the portrait area,
and extracting the target ring boundary zone by utilizing threshold segmentation according to the different colors of the target ring boundary zone of the portrait zone and other zones in the portrait zone to obtain the target ring boundary zone.
7. The method for collecting and processing the target image of the laser simulated shooting as claimed in claim 1, wherein the step of extracting the central region and the digital region of the target ring from the extracted human image region comprises the following steps:
extracting the digital region by utilizing threshold segmentation according to the difference of the colors of the digital region of the portrait region and other regions in the portrait region to obtain the digital region;
and extracting the central area of the target ring by utilizing threshold segmentation according to the difference of the colors of the central area of the target ring in the portrait area and other areas in the portrait area to obtain the central area of the target ring.
8. The method for collecting and processing the target image of the laser simulated shooting as claimed in claim 1, wherein the step of extracting the shot hole area in the extracted portrait area comprises the following steps:
and (4) extracting a bullet hole area from the portrait area through local mean and standard deviation analysis.
9. The method for collecting and processing the target image of the laser simulated shooting as claimed in claim 1, wherein the calculating the coordinates and the ring position of the bullet hole area comprises:
establishing a datum point template;
matching the extracted bullet hole area with the reference point template and generating an affine transformation relation;
obtaining the central point of the bullet hole by the extracted bullet hole area through an algorithm;
and displaying the bullet hole area at a specified coordinate position through the affine transformation relation and obtaining the ring position.
10. The utility model provides a laser simulation shooting target image acquisition processing apparatus which characterized in that includes:
the first image acquisition module is used for acquiring a first image, and the first image contains a target paper area formed after laser simulated shooting;
the target paper area extraction module is used for extracting a target paper area in the first image acquired by the first image acquisition module;
the portrait area extraction module is used for extracting a portrait area from the target paper area extracted by the target paper area extraction module;
the target ring boundary zone extraction module is used for extracting a target ring boundary zone from the portrait zone extracted by the portrait zone extraction module;
the target ring central area and digital area extraction module is used for extracting the target ring central area and the digital area from the portrait area extracted by the portrait area extraction module;
the bullet hole region extraction module is used for extracting a bullet hole region from the portrait region extracted by the portrait region extraction module;
and the calculation module is used for calculating the coordinates and the ring positions of the bullet hole areas.
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