Gray level difference-based transition region extraction and thresholding

被引：38

作者：

Li, Zuoyong ^{[1
,2
]}

Liu, Chuancai ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Dept Comp Sci & Technol, Nanjing 210094, Jiangsu, Peoples R China

[2] Minjiang Univ, Dept Comp Sci, Fuzhou 350108, Peoples R China

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2009年 / 35卷 / 05期

基金：

中国国家自然科学基金;

关键词：

SEGMENTATION; ALGORITHM; IMAGES;

D O I：

10.1016/j.compeleceng.2009.02.001

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Thresholding method based on transition region is a newly developed approach for image segmentation in recent years. In this paper, a novel transition region extraction and thresholding method based on gray level difference is proposed by analyzing properties of transition region. The gray level difference can effectively represent the essence of transition region. Hence, the proposed algorithm can accurately extract transition region of an image and get ideal segmentation result. The proposed algorithm was compared with two classic transition region-based methods on a variety of synthetic and real world images, and the experimental results show the effectiveness and efficiency of the algorithm. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：696 / 704

页数：9

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