A Novel Approach for Detecting Defects of Random Textured Tiles Using Gabor Wavelet

In this paper we address the problem of detecting different type of defects on random textured tiles. We adopt Gabor wavelet for analysis of random textured surfaces. Unlike the existing methods which arrange the Gabor filter Bank in such a way that the half-magnitude contour of neighboring filters in frequency domain touch each other, we allows the bandwidth of filters to vary. This flexibility enables the designed filter bank to detect different types of defects. We demonstrate that the proposed method detects defects on random textured tiles better than the conventional Gabor wavelet method. Key word: Texture analysis Defect Detection Random texture tiles Gabor wavelet