Scratch detection technology for product surface based on improved contourlet transform

2017 3rd International Conference on Applied Materials and Manufacturing Technology

Hu, Kun^1,2 ; Zhang, Shuyou^1 ; Xu, Jinghua^1

Department of Mechanical Engineering, Zhejiang University, Hangzhou

310027, China^1

Department of Information Technology, PLA University of Science and Engineering, Nanjing

210000, China^2

关键词: Automatic Detection;    Contourlet transform;    Molded products;    Product surface;    Retrieval accuracy;    Retrieval speed;    Scratch detection;    Surface scratches;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/242/1/012082/pdf
DOI  :  10.1088/1757-899X/242/1/012082

来源: IOP

【 摘 要 】

A method of surface scratch detection is proposed in order to realize the automatic detection of surface scratches of molded products. This method uses contourlet transform to decompose the image, extracts the mean and variance of the different sub-bands and different directions for the matrix as the eigenvectors, and uses the distance between the calculation point and the scoring center to identify scratches, to construct a product scratch detection system based on contourlet transform. Experimental results show that compared with traditional methods, the method has higher retrieval accuracy and retrieval speed.