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结合小波变换的边缘活动轮廓模型

王艳

计算机工程与应用Issue(10):27-30,4.
计算机工程与应用Issue(10):27-30,4.DOI:10.3778/j.issn.1002-8331.1309-0512

结合小波变换的边缘活动轮廓模型

Edge-based active contour models combined with wavelet transform

王艳1

作者信息

  • 1. 重庆师范大学 数学学院,重庆 400047
  • 折叠

摘要

Abstract

The edge stopping function is very important in edge-based active contour models. It typically depends on the gradient magnitude of Gaussian smoothed image, which leads the corresponding models evolving slowly and having diffi-culty to segment images with strong noise and complex background. In this paper, a novel edge stopping function related to wavelet transform is proposed. Experimental results show that, based on the new edge stopping function, edge-based models can not only effectively address the problems above, but also be applied to selective detection of multiple objects.

关键词

图像分割/活动轮廓模型/边缘停止函数/小波变换

Key words

image segmentation/active contour model/edge stopping function/wavelet transform

分类

信息技术与安全科学

引用本文复制引用

王艳..结合小波变换的边缘活动轮廓模型[J].计算机工程与应用,2014,(10):27-30,4.

基金项目

重庆市教育委员会科学技术研究项目(No.KJ130604);重庆师范大学基金项目(No.12XLB034)。 ()

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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