Journal of Textile Research ›› 2019, Vol. 40 ›› Issue (01): 153-158.doi: 10.13475/j.fzxb.20171206406

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Improved algorithm for fabric defect detection based on Canny operator

HU Keman1,2, LUO Siolong1(), HU Haiyan3   

  1. 1. Department of Electronics & Information Engineering, Ningbo Polytechnic, Ningbo, Zhejiang 315800, China
    2. Faculty of Information Technology, Macau University of Science and Technology, Macau 999078, China
    3. Technology and Academia-Industry Cooperation Office, Ningbo Polytechnic, Ningbo, Zhejiang 315800, China
  • Received:2017-12-29 Revised:2018-09-26 Online:2019-01-15 Published:2019-01-18
  • Contact: LUO Siolong E-mail:sllo@must.edu.mo

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Abstract:

In order to solve the self-adaption problem that current Canny operator needs to set threshold and to choose the filtering parameters in the fabric defect edge detection, an improved algorithm based on the original Canny operator was proposed. Firstly different filter parameters were chosen according to the type of the fabric flaw, and then self-adaption was used to obtain the threshold and the parameters of the filter, which avoids the wrong choosing of threshold leading to the lack or redundant edge information, and different filter parameters were chosen according to the type of the fabric flaw. The results showed that the improved Canny algorithm can detect the edge detail of fabric defects, and has good self-adaption capability. Compared to the conventional algorithm, the improved algorithm has better detection results.

Key words: Canny operator, self-adaption, fabric defect, parameter of filter, edge detail

CLC Number: 

  • TP391.4

Fig.1

Gauss filter."

Fig.2

Image processed by filter."

Fig.3

X-Direction of energy estimates"

Fig.4

Y-Direction of energy estimates"

Fig.5

Result of high threshold value 400."

Fig.6

Result of high threshold value 50."

Fig.7

Algorithm result of the paper."

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