计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (18): 32-33.

• 学术探讨 • 上一篇    下一篇

基于支持向量机的图像边缘检测研究

侯惠芳1,2,白莉媛2,刘素华2   

  1. 1.解放军信息工程大学 NDSC研究所,郑州 450002
    2.河南工业大学 计算机科学系,郑州 450052
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-06-21 发布日期:2007-06-21
  • 通讯作者: 侯惠芳

Study of edge detection based on support vector machine

HOU Hui-fang1,2,BAI Li-yuan2,LIU Su-hua2   

  1. 1.NDSC Institute,PLA University of Information Engineering,Zhengzhou 450002,China
    2.Department of Computer Science,Henan University of Technology,Zhengzhou 450052,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-06-21 Published:2007-06-21
  • Contact: HOU Hui-fang

摘要: 将支持向量机应用于储粮昆虫图像的边缘检测中,利用支持向量机两类分类的思想,借助“支持向量”分辨出图像的背景和目标从而检测了图像的边缘,探讨了图像的边缘检测的一种新方法。

Abstract: This paper applies Support Vector Machine(SVM) to edge detection for pests static images. Using the idea of two-class classification of SVM,it detects the edge of image by using support vectors to discern the background and object of image. A new method of edge detection is discussed.