NDLI: Strip steel surface defect image mosaic method based on area CCD

Content Provider	IEEE Xplore Digital Library
Author	Yu-lan Wei Yun-hui Yan Jia-qi Zhang Bing Li
Copyright Year	2010
Description	Author affiliation: School of Mechanical Engineering & Automation, Northeastern University, Shenyang, 110004, China (Yu-lan Wei; Yun-hui Yan; Jia-qi Zhang) \|\| School of Information & Engineering, Huzhou Teachers College, 313000, China (Bing Li)
Abstract	The strip steel surface defects which collected by area CCD are not continuous image, there are overlap between each other. In order to join the overlapped images properly, and meantime maintain the original image feature, a weighted average fusion method based on provincial characteristics is adapted. A linear interpolation image fusion method is proposed for improving the contrast of the fused image, enhance the high frequency information, and eliminate matching trace. With linear interpolation image fusion, the pixels gray value of overlap area is replaced by the corresponding weighted average of gray value in two images. Experimental results show that the fusion method can meet the requirements of strip steel defect detection. And it can effectively eliminate the traces of image mosaic, make the image clearer. This made a foundation for the strip surface defect identification and quality evaluation.
Starting Page	5412
Ending Page	5415
File Size	1325015
Page Count	4
File Format	PDF
ISBN	9781424476169
e-ISBN	9781424476183
DOI	10.1109/ICISE.2010.5689635
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Charge coupled devices Strips Interpolation Image registration Strip steel Weighted average fusion Surface defect Educational institutions Image mosaic Steel Mechanical engineering Image fusion
Content Type	Text
Resource Type	Article

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