Journal of Northeastern University ›› 2011, Vol. 32 ›› Issue (1): 121-124.DOI: -

• OriginalPaper • Previous Articles     Next Articles

On the image fusion rules of strip surface defects based on dissimilarity between local variances

Yan, Yun-Hui (1); Song, Ke-Chen (1); Peng, Yi-Shu (1); Li, Jun (1)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Song, K.-C.
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Abstract: Nowadays the fusion rules of the images of strip surface defects are one-sided, since they are based on the single point coefficient and the features of regional coefficient, thus making the images easy to be distorted. To solve the problem, the new fusion rules are presented where the high-frequency sub-bands are fused together after wavelet decomposition, with the dissimilarity between the local variances of the two images to be fused taken fully into account, then the thresholds are set to select the appropriate fusion rules. Experimental results showed that the method proposed can keep up the image features in detail and is highly applicable to the image fusion of surface defects of cold-rolled strip.

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