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
收藏
页码：403 / 411
页数：9
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