Title :
Edge Detection using Support Value Transfrom
Author :
Zheng, Sheng ; Tian, Jinwen ; Liu, Jian
Author_Institution :
Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
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.
Keywords :
edge detection; feature extraction; transforms; edge detection; edge positions; multiscale support value images; support value transform; Cybernetics; Image edge detection; Machine learning; Edge detection; mapped least squares support vector machine (mapped LS-SVM); support value transform (SVT); zero crossings;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370397
