Color image segmentation based on region growing algorithm

被引：3

作者：

Takanashi, Tetsuya ^{[1
]}

Shin, Jungpil ^{[1
]}

机构：

[1] Graduate School of Computer Science and Engineering, The University of Aizu, Fukushima

来源：

Journal of Convergence Information Technology | 2012年 / 7卷 / 16期

关键词：

Color Image; RGB; Segmentation;

D O I：

10.4156/jcit.vol7.issue16.18

中图分类号：

O43 [光学]; T [工业技术];

学科分类号：

070207 ; 08 ; 0803 ;

摘要：

In this paper, color image segmentation that recognizes objects in an image with region growing algorithm is discussed to be applied to moving object recognition algorithm. The algorithm that dynamically calculates the number of image segments by region growing algorithm is obtained. Initial segments start at one pixel and then connect to others by a conventional algorithm. The dividing image algorithm uses the area variance to obtain initial segments and to improve process effectiveness. The best color model for growing segments is discussed through these experiments. The RGB color model is the best color model for dividing segments and the L*a*b* color model is the best for connecting segments. As a result of image segmentation using region growing algorithm, wide area segments are recognized without shadows, JPEG noise, and mosquito noise. The shadowing segments are also recognized. The proposed algorithm is applied to edge processing and background subtraction to define the proposed algorithm features. As a result, objects are recognized with less noise by using the proposed algorithm.

引用

页码：152 / 160

页数：8

共 12 条

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