Research on the Paper Splicing Recovery
2014 ◽
Vol 602-605
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pp. 3443-3446
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This paper focuses on scraps of paper splicing recovery issues. To deal with complex scraps restoration problem, first the image should be changed as pixel grey level binary image, generating binary matrix, and then classify the scraps using SOM neural network data and feature comparison method. Combining with the Euclidean distance discriminant method, we match the scraps of paper with same edges and obtain a complete stitching schematic finally.
2017 ◽
Vol 5
(12)
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pp. 109-117
2011 ◽
Vol 33
(6)
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pp. 1307-1313
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2006 ◽
Vol 174
(3)
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pp. 1742-1759
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Keyword(s):
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