کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
535109 870321 2007 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Object segmentation using ant colony optimization algorithm and fuzzy entropy
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Object segmentation using ant colony optimization algorithm and fuzzy entropy
چکیده انگلیسی

In this paper, we investigate the performance of the fuzzy entropy approach when it is applied to the segmentation of infrared objects. Through a number of examples, the performance is compared with those using existing entropy-based object segmentation approaches and the superiority of the fuzzy entropy method is demonstrated. In addition, the ant colony optimization (ACO) is used to obtain the optimal parameters. The experiment results show that, compared with the genetic algorithm (GA), the implementation of the proposed fuzzy entropy method incorporating with the ACO provides improved search performance and requires significantly reduced computations. Therefore, it is suitable for real-time vision applications, such as automatic target recognition (ATR).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 28, Issue 7, May 2007, Pages 788–796
نویسندگان
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