Efficient method of image edge detection based on FSVM

Aiping Cai; Xiaomei Xiong

doi:10.1117/12.2030808

19 July 2013 Efficient method of image edge detection based on FSVM

Aiping Cai, Xiaomei Xiong

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 887830 (2013) https://doi.org/10.1117/12.2030808
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

For efficient object cover edge detection in digital images, this paper studied traditional methods and algorithm based on SVM. It analyzed Canny edge detection algorithm existed some pseudo-edge and poor anti-noise capability. In order to provide a reliable edge extraction method, propose a new detection algorithm based on FSVM. Which contains several steps: first, trains classify sample and gives the different membership function to different samples. Then, a new training sample is formed by increase the punishment some wrong sub-sample, and use the new FSVM classification model for train and test them. Finally the edges are extracted of the object image by using the model. Experimental result shows that good edge detection image will be obtained and adding noise experiments results show that this method has good anti-noise.

Citation Download Citation

Aiping Cai and Xiaomei Xiong "Efficient method of image edge detection based on FSVM", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887830 (19 July 2013); https://doi.org/10.1117/12.2030808

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