RETRACTED: A SUPPORT VECTOR MACHINE APPROACH FOR EDGE DETECTION IN NOISY IMAGES (Retracted Article)

被引：0
|
作者：
Zhang, Jian-Min [1 ]
Li, Lei [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing 210003, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年
关键词：
Edge detection; Support vector machines; Image denoising; Learning methods;
D O I：
10.1109/ICMLC.2009.5212422
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An innovative edge detection method, using the support vector machine, is presented in this paper. This method shows how to use the SVM to detect edge in an efficient way. The noisy images are processed in two ways in this paper, first reducing the noise by using the SVM regression networks filter and then performing the classification using the SVM classification. The experimental results indicate that this method is near equal to the Canny in the performance and is fast in the speed when the images are affected by impulsive noise.
引用
收藏
页码：965 / +
页数：2
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