Automatic target identifying method based on image processing technology

Abstract

The invention discloses an automatic target identifying method based on an image processing technology, which comprises the following steps of: 1, carrying out binaryzation processing to a preprocessed target surface image by selecting a proper threshold to ensure that the processed image only has target ring lines and bullet holes; and obtaining radius of each of other ring lines in sequence; 2, distinguishing by utilizing the different sizes of radii of the ring lines and the bullet holes, analyzing the image with a mathematical morphological image processing method, then carrying out repeated dilation and erosion operation on the image to obtain the image containing the bullet holes, and then finding out a gravity center pixel coordinate of each bullet hole; 3, calculating the center coordinate of each bullet point by calculating mean values of all pixel coordinate in the bullet point, and testing an area expression which the center coordinate meets by substituting the center coordinate to the expression of each area so as to further determine the ring number of the bullet point so that the target is identified. The invention has the advantages of high-efficiency operation and accurate target identification.

Description

technical field [0001] The invention belongs to the technical field of image processing and relates to an automatic target recognition method based on image processing technology. Background technique [0002] Whether in military training or sports competitions, the traditional method of target reporting is to determine the number of targets by the target reporter based on visual inspection, which has a lot of personal subjective factors, reliability, fairness and efficiency are not high, and often affects the final result of the shooting personnel. grades affect. With the development of science and technology, many automatic target reporting systems have appeared, but most of the existing automatic target reporting systems identify bullet marks based on the difference between the brightness and darkness of the bullet marks and the target ring line. The existing systems collect and process information on the gun target surface And analysis, the degree of automation is not h...

AI Technical Summary

Problems solved by technology

[0002] Whether in military training or sports competitions, the traditional method of target reporting is to determine the number of targets by the target reporter based on visual inspection, which has a lot of personal subjective factors, reliability, fairness and efficiency are not high, and often affects the final result of the shooting personnel. grades affect

With the development of science and technology, many automatic target reporting systems have appeared, but most of the existing automatic target reporting systems identify bullet marks based on the difference between the brightness and darkness of the bullet marks and the target ring line. The existing systems collect and process information on the gun target surface and analysis, the degree of automation is not high, the accuracy of target recognition is not high, and the recognition speed cannot meet the requirements

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