Optimal Gabor filter design for texture segmentation
نویسنده
چکیده
Texture segmentation involves accurately partitioning an image into differently textured regions. It requires simultaneous measurements in both the spatial and the spatial-frequency domains. Gabor filters are well recognized in the recent past as a joint spatial/spatial-frequency representation of textures. Daugman [16] has shown that Gabor filters have optimal joint localization in both the spatial and the spatial-frequency domains. In addition, they are bandpass filters, which are inspired by a multi-channel filtering theory for processing visual information in the early stages of the human visual system [17, 18].
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