Defect detection in colored texture surfaces using

This paper presents a Gabor filtering approach for automatic inspection of defects in colored texture surfaces. It can simultaneously measure both chromatic and textural anomalies in an image. Two chromatic features derived from the color space are used to form a complex number for color pixel representation. The proposed method is based on the energy response from the convolution of a Gabor filter with the color image characterized by two chromatic features in the form of a complex number. The Gabor filtering process converts the difficult defect detection in a colored texture image into simple threshold segmentation in the filtered image. Experimental results from a number of colored texture surfaces such as textile fabric, wood and tile have shown the effectiveness of the proposed method. * * * b a L CIE −