Texture Image Segmentation Based on Wavelet Signatures
نویسندگان
چکیده
In this paper, we formulate the segmentation problem based on textured images as an optimization problem, and adapt evolutionary algorithms for the selection in a wavelet feature space. The purpose here is to demonstrate the efficiency of GHM multiwavelets in texture discrimination with respect to D4 scalar wavelets. Comparative studies suggest that the former transform features may contain more texture information for discrimination than the latter.
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