Region-based Image Segmentation Using Shape-Varying Agents

被引：0

作者：

Qi, Xu ^{[1
]}

机构：

[1] Shanghai Maritime Univ, Sch Informat Sci & Engn, Dept Comp Sci & Technol, Shanghai 201306, Peoples R China

来源：

PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND COMPUTER APPLICATIONS (ICSA 2013) | 2013年 / 92卷

关键词：

Image segmentation; Alife; Shape-Varying Agent;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Image segmentation is an important problem in image processing. Existing methods have not solved this problem in some aspects. Alife is a new natural computing method with much good performance. We induce it into image segmentation and propose a novel Alife model Shape-Varying Agent (SVA). The new method combines the advantages of Alife approaches and region growing approaches, achieving good performance on image segmentation.

引用

页码：50 / 55

页数：6

共 9 条

[1]

[Anonymous], 1965, Machine perception of 3-d solids, optical and electro-optical information processing

[2]

[Anonymous], 1974, P 2 INT JOINT C PATT

[3] A COMPUTATIONAL APPROACH TO EDGE-DETECTION [J].