An intelligent calibration method for automatic target reporting system based on machine vision
A technology of machine vision and calibration method, applied in the direction of instruments, image analysis, image enhancement, etc., can solve the problems of poor accuracy, high complexity, time-consuming and labor-intensive, etc., and achieve the effect of improving the calibration accuracy and calibration speed.
Active Publication Date: 2021-10-01
ROCKET FORCE UNIV OF ENG
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[0004] In order to overcome the shortcomings of the traditional calibration method in the automatic target reporting system, such as poor precision, high complexity, time-consuming and laborious, etc., the present invention provides an intelligent calibration method for automatic target reporting system based on machine vision
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[0048] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0049] like figure 1 and figure 2 As shown, a kind of machine vision-based automatic target reporting system intelligent calibration method provided by the present invention comprises the following steps:
[0050] Step 1: Accurate detection of real-time bullseye coordinates
[0051] The accuracy of real-time target detection will directly affect the subsequent calibration accuracy of the entire target reporting system. In order to realize the precise automatic detection of the real-time bull's-eye position, after studying the characteristics of the chest ring target, an automatic detection method for the bull's-eye position of "coarse first and then fine" is designed.
[0052] Step 1.1: Rough detection of circle center position based on template matching position constraints. Select four fixed regions with rich information and best adaptability in ...
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The invention discloses an intelligent calibration method for an automatic target reporting system based on machine vision, comprising steps: step 1: rough detection of the center position of a circle through template matching position constraints, fine detection of the center position of a circle based on edge detection and Hough transform; step 2: Based on the Harris corner point extraction algorithm, according to the positional relationship between the standard bullseye and the feature points, determine the slope feature description of each feature point, and comprehensively use the neighborhood gray information and slope information to describe the feature points, so as to perform accurate matching; steps 3: According to the calibration model, use the matching feature points to solve the calibration model parameters, and automatically calibrate the visual target reporting system. The intelligent calibration method of the automatic target reporting system based on machine vision proposed by the invention can greatly improve the calibration accuracy and calibration speed of the automatic target reporting system.
Description
technical field [0001] The invention belongs to the field of video state monitoring and intelligent information processing, and in particular relates to an intelligent calibration method for an automatic target reporting system based on machine vision. Background technique [0002] Traditional live ammunition shooting training uses manual target reporting, usually by some personnel who have mastered the target judgment rules and have considerable target judgment experience to complete the target reporting work. In the process of target reporting, the target reporting personnel either hide under the physical target for close-range observation, or use a telescope for long-distance observation, or determine and count the shooter's performance by observing the target screen transmitted by the camera. According to statistics, during the shooting training process, the time required for shooting is only one-tenth of the time for manual target reporting and target replenishment. In...
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IPC IPC(8): G06T7/13G06T7/73G06T5/30G06T5/00
CPCG06T5/30G06T7/13G06T7/73G06T2207/20061G06T5/80G06T5/70
Inventor 杨小冈齐乃新卢瑞涛陈世伟李传祥
Owner ROCKET FORCE UNIV OF ENG