کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
536155 870473 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Learning automata for image segmentation
ترجمه فارسی عنوان
اتوماتای یادگیری برای تقسیم بندی تصویر
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• Thresholds are sought for multi-modal image segmentation based on histogram.
• Histogram is treated as probability distribution and modeled as Gaussian mixture.
• Learning automata are used for iteratively estimating Gaussian component parameter.
• Detection procedure is employed to reduce search space and expedite convergence.

A method is proposed seeking thresholds for segmentation of grayscale images. The normalized image histogram is modeled as a Gaussian mixture, and the parameters associated with the Gaussian components are estimated iteratively with a set of learning automata. To reduce the parameter search space, the number of major components in the image and their associated parameter ranges are first specified using some desired properties of the Gaussian distribution. Thresholds are chosen based on the Gaussian parameter estimates after convergence. Illustrative examples are provided to demonstrate the learning process and the effectiveness of the proposed segmentation scheme.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 74, 15 April 2016, Pages 46–52
نویسندگان
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