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基于meanshift算法的图像边缘检测
引用本文:何恒攀,赵敏,孙棣华.基于meanshift算法的图像边缘检测[J].重庆工学院学报,2009,23(8):122-125.
作者姓名:何恒攀  赵敏  孙棣华
作者单位:重庆大学自动化学院;
基金项目:重庆市科技攻关计划项目(CSTC,2005AC6037)
摘    要:提出一种以像素的meanshift偏移向量为重要特征,并考虑像素点相互空间关系的边缘检测算法.首先通过meanshift算法计算出图像中各个像素的meanshift最终偏移向量,然后根据meanshift理论以及该偏移量性质,同时引入meanshift向量的方向和长度进行边缘检测.实验结果表明:该算法能精确定位目标轮廓,同时具有良好的抗图像噪声能力.

关 键 词:meanshift  边缘检测  canny  偏移向量  

Meanshift Algorithm-based Edge Detection in Image
HE Heng-pan,ZHAO Min,SUN Di-hua.Meanshift Algorithm-based Edge Detection in Image[J].Journal of Chongqing Institute of Technology,2009,23(8):122-125.
Authors:HE Heng-pan  ZHAO Min  SUN Di-hua
Affiliation:College of Automation;Chongqing University;Chongqing 400044;China
Abstract:This paper proposes an edge detection algorithm for image by considering pixel space relation and features of meanshift vector.Firstly,the meanshift vector for each pixel is calculated;secondly,regarding characteristics of meanshift theory and corresponding vector,the edge detection algorithm is implemented with the information of both length and orientation of meanshift vector.Experiment indicates that the proposed algorithm locates edge accurately and resists noise in image robustly.
Keywords:meanshift  edge detection  canny  offset vector  
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