Scratch Detection Algorithm of Car Surface Based on Directional Color SUSAN Operator

作     者：WANG Zhen XIE Qiang DING Qiulin 

作者机构：College of Computer Science and TechnologyNanjing University of Aeronautics and Astronautics 

出 版 物：《Transactions of Nanjing University of Aeronautics and Astronautics》 (南京航空航天大学学报（英文版）)

年 卷 期：2019年第36卷第3期

页      面：479-487页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported in part by the Research Institute Joint Innovation Fund(No.BY2013003-06) 

主　　题：scratch detection directional template CIELab space SUSAN algorithm 

摘      要：The car surface scratch detection adopts the traditional manual detection with poor efficiency and high missing *** of the gray mark and the background of car surface scratches,the traditional edge detection algorithm cannot meet the needs of car surface scratch ***,the directional SUSAN algorithm based on CIELab color space is adopted in this *** direction template and the circle template to calculate the color difference of the color image are used in the algorithm which has been converted to the CIELab *** edges and scratches are eliminated by matching and contrasting the detected image with the edge *** results show that the algorithm can effectively detect scratches on the surface of cars,improve the detection speed and reduce the undetected rate.