JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2013, Vol. 43 ›› Issue (5): 19-23.

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Edge detection of extruded billet based on improved Canny operator

PAN Sheng-min1,2, ZHONG Yi1*, WANG Jian-hua2   

  1. 1. Faculty of Material Science and Engineering, Kunming University of Science and Technology, Kunming 650093, China;
    2. Computer Center, Kunming University of Science and Technology, Kunming 650500, China
  • Received:2013-07-10 Online:2013-10-20 Published:2013-07-10

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Abstract:

To deal with  flow behavior of metal billet in plastic deforming process, an algorithm of edge detection was proposed.  Firstly, the sample image was preprocessed by used the method of gray-scale enhance combine with morphological corrosion and expansion, and then the billet deformation contour was extracted by Canny operator that is limited by double thresholds. It avoided the isolating step grayscale point on the edge. In the same amount of salt and pepper noise, the peak signal to noise ratio of this algorithm was higher than other typical algorithms. The experimental results showed that the edge of deformation zone that it be extracted by this algorithm, can meet the quantitative analysis of metal flowing characteristics.

Key words: image processing, image enhancement, signal to noise ratio, Canny operator, edge detection

CLC Number: 

  • TP391
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