基于改进的活动轮廓模型在图像分割中的应用  

Application of An Improved Active Contour Model on Image Segmentation

作　　者：王爽[1] 段红[1] 黄友锐[1] 

机构地区：[1]安徽理工大学电气工程系,安徽淮南232001

出　　处：《微计算机信息》2008年第1期274-275,314,共3页Control & Automation

基　　金：具有以太网接口的嵌入式变频器的研究与开发(安徽教育厅项目2004kj119)

摘　　要：活动轮廓模型在图像分割过程中有广泛应用。本文首先介绍了活动轮廓模型, 并指出了该模型的缺陷, 在此基础上本文提出了一种改进的方法, 与现在流行的改进方法不同之处为它是基于算法来改进的。它用遗传算法来优化初始轮廓, 取得了较好的分割效果。Active Contour Model has been extensively used in the process of image segmentation.The active contour model has been introduced first and pointed out the defect. An improved active contour model has been brought, that has got different from popular improvement method now for it is improved based on the algorithm. Initial contour is optimized by Genetic Algorithm, and this method has got a good segmentation effect.

关 键 词：遗传算法 活动轮廓模型 图像分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]