A Study and Improvements on Canny Algorithm

Abstract:

This paper studies principle of the traditional Canny edge detection algorithm and the existing problems. Some solutions toward the problems are also proposed. The improvement methods consisted of two parts. On the one hand, as Canny edge algorithm itself does not have strong noise immunity while ensuring edge positioning accuracy, an adaptive median filter denoising program based on the Canny Gaussian filter is proposed to enhance the Canny algorithm filter performance. On the other hand, given the Canny algorithm high and low threshold parameter is not determined by the feature information of the image edge, but rather set manually which does not have the adaptive ability, this paper proposes an adaptive threshold setting scheme for high and low thresholds to improve the adaptive ability of Canny algorithm to different images.

• Periodical: Advanced Engineering Forum (Volumes 6-7)
• Pages: 205-209
• DOI: https://doi.org/10.4028/www.scientific.net/AEF.6-7.205
• Online since: September 2012
• Authors: Xue Fang Chen, Hao Bing Guan, Ji Nan Gu, Qian Wu
• Keywords: Adaptive, Canny Algorithm, Filter, Strong Noise, Threshold

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