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基于图论的彩色图像快速分割方法研究
引用本文:张学习,杨宜民,曹志广,夏益民,何启承.基于图论的彩色图像快速分割方法研究[J].计算机应用与软件,2009,26(7):240-241,250.
作者姓名:张学习  杨宜民  曹志广  夏益民  何启承
作者单位:广东工业大学自动化学院,广东,广州,510090
摘    要:基于图论的图像分割方法作为一种全局的分割方法,当图像的信息量增大时,问题求解将非常耗时.提出一种基于图论的彩色图像快速分割方法,该方法首先用区域生长法将彩色图像划分为内部相似的一些区域,再用最小支撑树MST(Minimum spanning tree)方法在这些区域之间进行分割,产生最终的分割图像.以彩色图像作为研究对象,实验结果表明,相对于传统的MST图论分割方法,该方法在取得较好分割效果的同时,提高了分割速度.

关 键 词:彩色图像分割  图论  区域生长  最小支撑树  目标函数

ON FAST SEGMENTATION FOR COLOUR IMAGE BASED ON GRAPH THEORY
Zhang Xuexi,Yang Yimin,Cao Zhiguang,Xia Yimin,He Qicheng.ON FAST SEGMENTATION FOR COLOUR IMAGE BASED ON GRAPH THEORY[J].Computer Applications and Software,2009,26(7):240-241,250.
Authors:Zhang Xuexi  Yang Yimin  Cao Zhiguang  Xia Yimin  He Qicheng
Affiliation:College of Automation;Guangdong University of Technology;Guangzhou 510090;Guangdong;China
Abstract:Image segmentation method based on graph theory can extract global property of an image.However,it is time consuming in problem solving when image information becomes larger.This paper suggests a fast segmentation method for colour image which combines region growing with graph theory.The method uses region growing to divide colour image into inner-similar regions at fist,then uses MST(minimum spanning tree) method to segment among these regions for producing final segmented images.The algorithm in this pap...
Keywords:Colour image segmentation Graph theory Region growing MST Objective function  
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