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Edge-Based Segmentation of Textured Images Using Optimally Selected Gabor Filters

9 years 2 months ago
Edge-Based Segmentation of Textured Images Using Optimally Selected Gabor Filters
In this paper, we propose a technique for segmenting visual textures using features extracted from the reponses of Ga,bor filters, appropria.tely selectecl to be tuned to texture components of the input image. In the proposed method segmentation is achieved by detecting boundaries between adjacent textured regions, and this segmentation algorithm works as follows. The input image is first filtered using a small set of Gabor filters, each tuned to one of the textures composing the original image. Abrupt changes in the obtained Gabor filter output images are found by detecting the underlying local extremas. For this purpose, a gradient operator is applied to output ima.ge of each Gabor filter, yielding a. set of gradient images. The textcrre gradient is sul>sequently obtained by grouping gradient images from all channels. Thresholding the texture gradient and thinning the result yields the expected texture boundaries. Experimental results on synthetic and natural textures, demonstrat...
Bertin Rodolphe Okombi-Diba, Juichi Miyamichi, Ken
Added 19 Dec 2010
Updated 19 Dec 2010
Type Journal
Year 2000
Where MVA
Authors Bertin Rodolphe Okombi-Diba, Juichi Miyamichi, Kenji Shoji
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