华南理工大学学报(自然科学版) ›› 2007, Vol. 35 ›› Issue (9): 36-39,59.

• 电子、通信与自动控制 • 上一篇    下一篇

基于局部统计特征约束的Snake 模型图像分割方法

吕佩卓 赖声礼 胡蓉 陈佳阳   

  1. 华南理工大学 电子与信息学院,广东 广州 510640
  • 收稿日期:2006-10-12 出版日期:2007-09-25 发布日期:2007-09-25
  • 通信作者: 吕佩卓(1979-) ,男,博士,主要从事智能图像处理、多媒体信号处理方面的研究. E-mail:dylanamd@163. com
  • 作者简介:吕佩卓(1979-) ,男,博士,主要从事智能图像处理、多媒体信号处理方面的研究.
  • 基金资助:

    广东省科技攻关项目( 2003 C40406 )

Image Segmentation Algorithm ßased on Snake Model of Local Statistical Characteristic Restriction

Lü Pei-zhuo  Lai Sheng-li  Hu Rong  Chen Jia-yang   

  1. School of Electronic and Information Engineering , South China Univ. of Tech. , Guangzhou 510640 , Guangdong , China
  • Received:2006-10-12 Online:2007-09-25 Published:2007-09-25
  • Contact: 吕佩卓(1979-) ,男,博士,主要从事智能图像处理、多媒体信号处理方面的研究. E-mail:dylanamd@163. com
  • About author:吕佩卓(1979-) ,男,博士,主要从事智能图像处理、多媒体信号处理方面的研究.
  • Supported by:

    广东省科技攻关项目( 2003 C40406 )

摘要: 针对血管内超声(IVUS) 图像边界模糊不清的问题,提出一种基于局部统计特征约束的Snake 模型图像分割方法.首先利用IVUS 图像的先验知识建立图像特征的统计信息,并以此信息构造变化的膨胀力,同时构造了轮廓曲线的内部平衡力,以此构造新的Snake 模型,然后利用该模型进行图像分割.实验结果表明,该Snake 模型对初始轮廓依赖性小,对噪声不敏感,能准确分割出具有模糊边界的目标图像.

关键词: 图像分割, Snake 模型, 区域信息, 统计特征

Abstract:

In order to clarify the fuzzy boundary of intravascular ultrasound (IVUS) image , an image segmentation algorithm based on the Snake model of local statistical characteristic restriction is presented. In this algorithm , the prior knowledge of IVUS image is used to establish the statistical information of image characteristics , with which the expanding force is set up and the intemal balance force of the contour is proposed to construct a new Snake model. The newly constructed model is then adopted to segment the IVUS image. Experimental results show that the proposed Snake model is little dependent on the initial contour and is not sensitive to noise. Thus , the target image with fuzzy boundalγcan be accurately segmented.

Key words: image segmentation, Snake model, region information, statistical characteristic