Journal of South China University of Technology (Natural Science Edition) ›› 2007, Vol. 35 ›› Issue (9): 36-39,59.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

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 )

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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