E cient Gabor Filter Design Using Rician Output Statistics
نویسندگان
چکیده
Gabor lters have been applied sucessfully to a broad range of multidimensional signal processing and image processing tasks. The present paper considers the design of a single lter to segment a two-texture image. A new efcient algorithm for Gaborlter design is presented. The algorithm draws upon previous results that showed that the output of a Gaborltered texture is well represented by a Rician distribution. The new algorithm uses the Rician model to estimate the output statistics of a pair of sample textures from their windowed autocorrelation functions. A measure of the total output power is used to select the center frequency of the lter and estimate the output statistics. The method is further generalized to include the statistics of postltered outputs. Experimental results are presented that demonstrate the e cacy of the algorithms.
منابع مشابه
Efficient Gabor filter design for texture segmentation
Gabor lters have been successfully applied to a broad range of image processing tasks. The present paper considers the design of a single lter to segment a two-texture image. A new e cient algorithm for Gaborlter design is presented, along with methods for estimating lter output statistics. The algorithm draws upon previous results that showed that the output of a Gaborltered texture is modeled...
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Gabor lters have been applied sucessfully to a broad range of multidimensional signal processing and image processing tasks. The present paper considers the design of a single lter to segment a two-texture image. A new ef-cient algorithm for Gabor-lter design is presented. The algorithm draws upon previous results that showed that the output of a Gabor-ltered texture is well represented by a Ri...
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