Robust threshold estimation for images with unimodal histograms

被引：44

作者：

Coudray, Nicolas ^{[1
]}

Buessler, Jean-Luc ^{[1
]}

Urban, Jean-Philippe ^{[1
]}

机构：

[1] Univ Haute Alsace, Lab MIPS, F-68093 Mulhouse, France

来源：

PATTERN RECOGNITION LETTERS | 2010年 / 31卷 / 09期

关键词：

Automatic thresholding; Image histogram; Unimodal distribution; Edge detection;

D O I：

10.1016/j.patrec.2009.12.025

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article introduces a method to determine in a robust manner the threshold in highly noisy gradient images. To enhance the robustness, the proposed technique is based on a piecewise linear regression to fit the whole descending slope of the histogram, rather than the search of some specific points. The algorithm gives a reliable estimation of the threshold, and is practically insensitive to the noise distribution, to the quantity of edge pixels to segment, and to random histogram fluctuations. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：1010 / 1019

页数：10

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