Abstract: Abstract For cotton foreign fiber detecting difficulty problem, the method is proposed for detection cotton foreign fiber based on the multi-resolution image difference. First of all, different frequency components of detection image are separated through the wavelet decomposition. Then, different resolution sub-graphs are used differential to improve information contrast of foreign fiber and cotton. On this basis, the Maximum between-Cluster Variance method is proposed for Bi-value image of multi-resolution difference sub-graph and anisotropic fiber information. Finally, the segmentation images are fused for the fibers information, so as to detect the complete opposite fiber information. Experimental results show that the method can effectively restrain the cotton background information, maximum extract foreign fiber information, and foreign fiber detection accuracy rate exceed above 90%.

Key words: multi-resolution, difference, contrast, foreign fiber, detection