Automatic Stake Test System Based On Machine Vision

In order to improve equity and veracity of automobile' s stake test,we put forward a thought and means of automatic stake test,based on machine vision,in which a number of digit image disposal technology and pattern identification theory are used. The paper recounts implementing thoughts of this system and advances some improved algorithm in pretreating image,for example image enforce,segmentation of image and so on .we get rather satisfying effect by using these algorithms. In initial phase of the system,in order to get the information of field and automobile' s edge,the paper introduces detecting algorithm to confirm end - points of field,improved Hough algorithm,and worm-following algorithm to pick up edge. In real- time checking phase,the most importance aim is to identify sign circles,so we advance a qiuck searching algorithm based on threshold. Thealgorithm improves the speed of getting and identifing target areas. In Windows environment the whole system runs in gear,which implements simulation operation of the stake test.