Imaging Science and Photochemistry ›› 2016, Vol. 34 ›› Issue (1): 116-121.DOI: 10.7517/j.issn.1674-0475.2016.01.116

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A New Improved Canny Image Edge Detection Algorithm

WU Xiang, YU Weibo, MA Yanhui, LIU Keping   

  1. School of Electrical & Electronic Engineering, Changchun University of Technology, Changchun 130012, Jilin, P. R. China
  • Received:2015-09-28 Revised:2015-11-04 Online:2016-01-15 Published:2016-01-15

Abstract:

A new adaptive Canny operator is proposed which aimed the image edge areas effect when traditional Canny operator under Gaussian smooth and the shortcomings of threshold level pre-set. Firstly, the adaptive median filtering is adopted to process it; secondly, adding the 45° and 135° direction of gradient template to calculate gradient amplitude; finally, using the Otsu algorithm to calculate the gradient amplitude operation get images of high and low threshold value. The experiment results show that the improved Canny algorithm has good anti-noise performance, and can accurately detect the edge information.

Key words: edge detection, median filtering, gradient amplitude, Canny detector