کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4633153 1340663 2008 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A new image thresholding method based on Gaussian mixture model
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
A new image thresholding method based on Gaussian mixture model
چکیده انگلیسی

In this paper, an efficient approach to search for the global threshold of image using Gaussian mixture model is proposed. Firstly, a gray-level histogram of an image is represented as a function of the frequencies of gray-level. Then to fit the Gaussian mixtures to the histogram of image, the expectation maximization (EM) algorithm is developed to estimate the number of Gaussian mixture of such histograms and their corresponding parameterization. Finally, the optimal threshold which is the average of these Gaussian mixture means is chosen. And the experimental results show that the new algorithm performs better.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 205, Issue 2, 15 November 2008, Pages 899–907
نویسندگان
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