کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
535159 870326 2007 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A multi-level thresholding approach using a hybrid optimal estimation algorithm
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
A multi-level thresholding approach using a hybrid optimal estimation algorithm
چکیده انگلیسی

This paper presented a hybrid optimal estimation algorithm for solving multi-level thresholding problems in image segmentation. The distribution of image intensity is modeled as a random variable, which is approximated by a mixture Gaussian model. The Gaussian’s parameter estimates are iteratively computed by using the proposed PSO + EM algorithm, which consists of two main components: (i) global search by using particle swarm optimization (PSO); (ii) the best particle is updated through expectation maximization (EM) which leads the remaining particles to seek optimal solution in search space. In the PSO + EM algorithm, the parameter estimates fed into EM procedure are obtained from global search performed by PSO, expecting to provide a suitable starting point for EM while fitting the mixture Gaussians model. The preliminary experimental results show that the hybrid PSO + EM algorithm could solve the multi-level thresholding problem quite swiftly, and also provide quality thresholding outputs for complex images.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 28, Issue 5, 1 April 2007, Pages 662–669
نویسندگان
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