Multi-scale binarization of images

被引：16

作者：

Tabbone, S ^{[1
]}

Wendling, L ^{[1
]}

机构：

[1] Univ Nancy 2, LORIA, F-54506 Vandoeuvre Les Nancy, France

来源：

PATTERN RECOGNITION LETTERS | 2003年 / 24卷 / 1-3期

关键词：

binarization; multi-scale; gray-scale images;

D O I：

10.1016/S0167-8655(02)00265-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose an original approach for the binarization of gray-level images. A multi-scale algorithm based on a statistical test of homogeneity decides if a region belongs to the background or not. At each iteration the image is smoothed with a nonlinear filter to remove the noise. Stable regions in scale space are used as a model to automatically find a threshold from the intensity histogram. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：403 / 411

页数：9

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