کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
534916 870303 2008 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimum Gabor filter design and local binary patterns for texture segmentation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Optimum Gabor filter design and local binary patterns for texture segmentation
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 29, Issue 5, 1 April 2008, Pages 664–672
نویسندگان
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