کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
536023 870436 2011 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel histogram transformation to improve the performance of thresholding methods in edge detection
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
A novel histogram transformation to improve the performance of thresholding methods in edge detection
چکیده انگلیسی

The gradient image is used to detect edge points, and the gradient histogram is a typical case of a unimodal histogram. It is well-documented that bi-modal thresholding methods (such as the Otsu method) detect edges poorly. Therefore, specific unimodal thresholding methods are used to detect edge points. However, unimodal thresholding methods (such as the Rosin method) sometimes obtain very noisy results. In this paper, we propose a histogram transformation to improve the performance of some thresholding methods. Using the Berkeley Segmentation Dataset, we present quantitative performance results in an edge detection task to show that our transformation improves the performance of the Otsu and Rosin methods. Our histogram transformation can be used by any histogram thresholding method, but the performance of the method, using the transformed histogram, will depend of the criterion used by this method.

Research highlights
► The Otsu thresholding method has a low performance on unimodal histograms.
► The unimodal thresholding methods sometimes obtain very noisy results.
► A method to increase the performance of the Otsu method is proposed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 32, Issue 5, 1 April 2011, Pages 676–693
نویسندگان
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