关键词: 织物疵点, 多方向, 边缘检测, 自适应阈值

Abstract: Edge detection of fabric defect based on wavelet transform can get edge information only in the direction of horizontal, vertical and diagonal, likely to cause loss of directional edge. An edge detection method based on Contourlet transform is proposed. The high frequency sub-band coefficients are denoised on each direction of Contourlet transform using adaptive threshold. Maximum modulus coefficients are found in each scale and direction. Edge of defects is obtained through inverse transform of maximum modulus coefficients and low frequency coefficients. Refinement is given though histogram statistics and isolated points are removed. Simulation results show the method obtains a more detailed edge defect information. Particularly the detect results more upon to the original blemish are got.

Key words: fabric defect, multi-directional, edge detection, adaptive threshold