کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
527102 869286 2011 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Median-based image thresholding
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Median-based image thresholding
چکیده انگلیسی

In order to select an optimal threshold for image thresholding that is relatively robust to the presence of skew and heavy-tailed class-conditional distributions, we propose two median-based approaches: one is an extension of Otsu's method and the other is an extension of Kittler and Illingworth's minimum error thresholding. We provide theoretical interpretation of the new approaches, based on mixtures of Laplace distributions. The two extensions preserve the methodological simplicity and computational efficiency of their original methods, and in general can achieve more robust performance when the data for either class is skew and heavy-tailed. We also discuss some limitations of the new approaches.


► We propose median-based extensions of two very popular image-thresholding methods.
► We provide theoretical interpretation of the new approaches.
► They are as simple and efficient as, and can be more robust than, their original methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Image and Vision Computing - Volume 29, Issue 9, August 2011, Pages 631–637
نویسندگان
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