Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (26): 160-162.DOI: 10.3778/j.issn.1002-8331.2009.26.047

• 图形、图像、模式识别 • Previous Articles     Next Articles

Combination of active contour with passive edge detection in contour extraction

ZHANG Yi1,SUN Hu-yuan2,SUN Li-juan2,SUN Xiao-guang1   

  1. 1.School of Computer Science,Fudan University,Shanghai 200433,China
    2.Institute of Oceanology,Chinese Academy of Sciences,Qingdao,Shandong 266071,China
  • Received:2008-10-27 Revised:2008-12-22 Online:2009-09-11 Published:2009-09-11
  • Contact: ZHANG Yi

边缘检测和Snake Model结合的轮廓识别

张 毅1,孙虎元2,孙立娟2,孙晓光1   

  1. 1.复旦大学 计算机学院,上海 200433
    2.中国科学院 海洋研究所,山东 青岛266071
  • 通讯作者: 张 毅

Abstract: A method based on combining active contour with passive edge detection to extract contour is proposed.This method avoids the shortcomings which exist in active and passive techniques,and combines their advantages.To get a better contour,three techniques are used successively,first Canny detector,then segmentation based on probability,and finally snake model.

Key words: Snake model, active contour, Canny detector, probability, image segmentation

摘要: 基于主动轮廓识别和被动轮廓识别方法各自的优缺点,提出结合主动和被动的方法,先对图像进行被动轮廓的预处理,然后再应用主动轮廓的方法,通过比较选出Canny算子进行预处理,再通过基于概率的方法分割图像,最后再应用Snake模型进行轮廓提取。并取得较好的应用。

关键词: Snake模型, 主动轮廓线, Canny算子, 概率, 图像分割

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