Research And Design Of The Laser Shooting And Target Reporting Device

This dissertation introduces a Laser Shooting and Target-reporting Device based on image processing technology,which uses laser beam to simulate the actual trajectory,which is safe,efficient,accurate and reliable,and can be used as an auxiliary method for soldiers’ daily training.It can also be used as an effective way for students to experience shooting.In order to solve the problem of low precision and easy interference in the image target delivery system,this paper focuses on the precise acquisition of target parameters and the optimization method of anti-jamming performance in the process of image processing.The main tasks of the paper are:First of all,the construction method and hardware selection of the device are introduced,including Laser Emitting Device and Target Image Acquisition Device.Secondly,The process of target image preprocessing is discussed,Including The methods of image color transformation,chest ring region segmentation and image de-noising: The segmentation method of target image under complex light conditions is studied,and the chest ring area and off-target area are accurately divided using HSV color space;The method of image de-noising was studied,and the target surface was effectively de-noised by using Gaussian bilateral filtering while retaining the details of the circle lines.Then,the method of obtaining target parameters is studied,including the positioning of target center,circles and spot: the shortcomings of existing threshold segmentation and edge detection are analyzed,and the threshold segmentation algorithm based on local mean difference is used to accurately extract the ring line;Analyzes the principle and defect of the Hough-circle detection method,and adopts the concentric circle detection algorithm based on distance histogram to accurately locate the target center and target ring;Analyzes the detection principle of the existing method,adopts the "spot center location algorithm based on the minimum distance iteration" to locate the spot center accurately,and the experiment proves that the method is more stable than other methods.Finally,the main interference in spot detection is analyzed,and the effective methods to solve various interference are proposed,such as using morphological operation to remove system interference,using connecting domain analysis to remove shadow,insect interference,etc.The feasibility of these methods is verified by experiments.