Application of Gabor Filtering Methods to Auto-defect-detecting of Color Texture Surface
Gabor滤波器在彩色纹理表面缺陷检测中的应用

This paper introduced the application of Gabor filtering method to auto-defect-detecting of color texture surface,to measure the deviations of image's color and texture.The method was based on the energy response of image convolution comprised by two color feature pluralities,rather than the extraction depending on texture feature,thus accomplishing the transformation between a complicated process of defect-detecting and a simple binary of filtering image.The outcomes drawn from a series of tests on a large number of particular color texture surface,such as surface of textile and wood prove the effectiveness of the method.