EDGE DETECTION USING SUPPORT VALUE TRANSFROM

摘要：

An innovative edge detection algorithm using the support value transform is presented in this paper.Based on the support value transform, the multi scale support value images are extracted from the images.The resolution of an image is directly related to the proper scale for edge detection, and the second level support value image is used to locate the edge positions by their zero crossings.Computer experiments are carried out and sharp image edges are obtained from a variety of sample images.Compared with many other existing methods, including LoG and Canny detectors, the proposed algorithm is superior to the LOG and Roberts approach.

关键词： Edge detection mapped least squares support vector machine (mapped LS-SVM) support value transform (SVT) zero crossings

作者: SHENG ZHENG JINWEN TIAN JIAN LIU

作者单位: Electronics and Information Engineering Department, Huazhong University of Science and Technology, W State Education Commission Key Lab for Image Processing and Intelligent Control, HUST, Wuhan 430074, Electronics and Information Engineering Department, Huazhong University of Science and Technology, W

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1578-1583

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）