کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1548834 997759 2008 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fuzzy entropy image segmentation based on particle swarm optimization
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد مواد الکترونیکی، نوری و مغناطیسی
پیش نمایش صفحه اول مقاله
Fuzzy entropy image segmentation based on particle swarm optimization
چکیده انگلیسی

Particle swarm optimization is a stochastic global optimization algorithm that is based on swarm intelligence. Because of its excellent performance, particle swarm optimization is introduced into fuzzy entropy image segmentation to select the optimal fuzzy parameter combination and fuzzy threshold adaptively. In this study, the particles in the swarm are constructed and the swarm search strategy is proposed to meet the needs of the segmentation application. Then fuzzy entropy image segmentation based on particle swarm optimization is implemented and the proposed method obtains satisfactory results in the segmentation experiments. Compared with the exhaustive search method, particle swarm optimization can give the same optimal fuzzy parameter combination and fuzzy threshold while needing less search time in the segmentation experiments and also has good search stability in the repeated experiments. Therefore, fuzzy entropy image segmentation based on particle swarm optimization is an efficient and promising segmentation method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Progress in Natural Science - Volume 18, Issue 9, 10 September 2008, Pages 1167–1171
نویسندگان
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