"on Behalf Of Gun Target Face Image Recognition Algorithm

"Image processing supersedes artillery firing" system is a training system using image interpretation to replace artillery firing.That is to say, the system is to analyse the relatively position between the collimation sign and target firstly and then to evaluate whether the operator hits the targe. It mainly consists of image incepting subsystem of tracking and aiming, data collecting and preservating subsystem and image processing and evaluating subsystem. This paper mostly researchs the image processing and evaluating system.Image processing includes collimation sign recognition and target recognition. In collimation sign recognition,we adopt Hough transform and image geometry transform to pretreat the images, make a comparative analysis of the advantages and disadvantages among various template matching algorithms, put forward an approach of template matching with binary image and achieve relatively good results in matching pace.In target recognition, through compareing some essential image segmentation algorithms, we choose region growing effectively to recognize the target.While evaluating the result,we improve the data precision from pixel to sub-pixel. The common sub-pixel edge detection algorithms are studied, and put forward a method combining corner detecting and sub-pixel corner orientation. This method could be used to detect the edge of given images at present.This paper uses the C++ programing language and OpenCV class libraries to perform the demand of the system. Experiments show that the software can make relatively correct orientation to arrowhead and targe in 2000 meters, meet the real-time request and realize the requested function.