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In order to improve the detection effect for the fabric with complex texture, proposed a fabric defect detection algorithm based on hybrid self-adaptive wavelets, and adopted different adaptive wavelet basis to decompose each layer of the fabric image. Firstly, the hybrid self-adaptive wavelet basis is generated from the original image and 1-L wavelet decomposed image; then the generated self-adaptive wavelet is used to implement 2-L wavelet decomposition; finally, the threshold segmentation method split the radial sub image into defect region and background region. Experimental results demonstrate that the proposed algorithm can effectively detect defect with better result of defect segmentation and location.