کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
534916 | 870303 | 2008 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Optimum Gabor filter design and local binary patterns for texture segmentation Optimum Gabor filter design and local binary patterns for texture segmentation](/preview/png/534916.png)
We present a novel approach to multi-texture image segmentation based on the formation of an effective texture feature vector. Texture sub-features are derived from the output of an optimized Gabor filter. The filter’s parameters are selected by an immune genetic algorithm, which aims at maximizing the discrimination between the multi-textured regions. Next the texture features are integrated with a local binary pattern, to form an effective texture descriptor with low computational cost, which overcomes the weakness of the single frequency output component of the filter. Finally, a K-nearest neighbor classifier is used to effect the multi-texture segmentation. The integration of the optimum Gabor filter and local binary pattern methods provide a novel solution to the task. Experimental results demonstrate the effectiveness of the proposed approach.
Journal: Pattern Recognition Letters - Volume 29, Issue 5, 1 April 2008, Pages 664–672