S-gabor Channel Design for Segmentation of Modulated Textures
نویسندگان
چکیده
This paper describes a method for designing a lter bank for segmenting modulation features in line textures. A new version of the S-Gabor lter of Heitger et al 1] is developed in which the range of frequencies covered by the lter can be easily controlled. A method of tuning S-Gabor lters to modulation features in line textures is also presented. The candidate frequency set is obtained by selecting high-energy pixels in Fourier power spectra of the texture images. In the resulting data set, low-frequency clutter is distinguished from pixels representing modulation features using Gustavson-Kessel fuzzy clustering. The lter bank that is obtained from these processes is used to segment images of sh scales, whereby regions corresponding to slow growth are characterized by attenuation of the spatial frequency of the growth-rings.
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Segmenting modulated line textures with S-Gabor filters
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