A Novel Method for Image Segmentation Based on Nature Inspired Algorithm

被引：0

作者：

Liu, Yang ^{[1
]}

Hu, Kunyuan ^{[1
]}

Zhu, Yunlong ^{[1
]}

Chen, Hanning ^{[1
]}

机构：

[1] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Peoples R China

来源：

INTELLIGENT COMPUTING IN BIOINFORMATICS | 2014年 / 8590卷

关键词：

Image segmentation; Particle Swarm Optimization (PSO); Hybrid Particle Swarm Optimization (HPSO); DIFFERENTIAL EVOLUTION ALGORITHM;

D O I：

暂无

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Image segmentation is of great importance in the fields of computer vision, face recognition, medical imaging, digital libraries, and video retrieval. This paper presents a novel method for image segmentation based on a Hybrid particle swarm algorithm, which combines the advantages of swarm intelligence and the natural selection mechanism of artificial bee colony algorithm. Experimental results show that the proposed method can reach a higher quality adequate segmentation, reduce the CPU processing time and eliminate the particles falling into local minima.

引用

页码：390 / 402

页数：13

共 11 条

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