Hierarchical texture segmentation with wavelet packet transform and adaptive smoothing
Yu-Chuan Lin, T. Chang, C.‐C. Jay Kuo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
A new texture segmentation algorithm based on the wavelet transform and a hierarchical fuzzy processing technique is proposed in this research. We perform a tree-structured wavelet transform to decompose a textured image adaptively into subimages corresponding to different frequency channels, and assign a fuzzy membership function to every spatial location by examining the averaged energy value of a local window centered at that point. A procedure to determine the proper smoothing window size is described. The fuzzy membership function in different subimages is then integrated hierarchically to lead to the final segmentation result. Numerical experiments are given to demonstrate the performance of our proposed algorithm.