Elastic Contour-Based Image Segmentation using Genetic Algorithms

被引：0

作者：

Costin, Hariton ^{[1
]}

机构：

[1] Gr T Popa Univ Med & Pharm, Iasi, Romania

来源：

2011 E-HEALTH AND BIOENGINEERING CONFERENCE (EHB) | 2011年

关键词：

medical image segmentation; elastic contour; soft-computing; genetic algorithms;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Medical images are increasingly being used within healthcare for diagnosis, planning treatment, guiding treatment and monitoring disease evolution. Medical imaging mainly processes uncertain, missing, ambiguous, complementary, inconsistent, redundant contradictory, distorted data, and information has a strong structural character. This paper reports a new semi-automated and supervised method for the segmentation of medical images by using elastic contour ('snake') model and a well known soft computing technique - genetic algorithms. Promising results show the superiority of this hybrid approach over the best traditional techniques in terms of segmentation errors.

引用

页数：4