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Proceedings Paper

An image similarity measure method based on mathematical morphology
Author(s): Jinrong Zhong; Yuwen Zhou; Jiayu Lin
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Paper Abstract

An image similarity measure method is proposed. The similarity measure method based on mathematical morphology, ignores the effect of slight distortion or noise on the image similarity, and retains the influence of distortion or loss of the image similarity. The experimental results show that, while the matching image similarity is not reduced, this similarity measure can reduce the matching of image similarity, increasing decision distance. And it helps to improve the performance of image matching, recognition method.

Paper Details

Date Published: 24 November 2014
PDF: 7 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93010D (24 November 2014); doi: 10.1117/12.2069293
Show Author Affiliations
Jinrong Zhong, National Univ. of Defense Technology (China)
Yuwen Zhou, 61886 Unit of PLA (China)
Jiayu Lin, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9301:
International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
Gaurav Sharma; Fugen Zhou; Jennifer Liu, Editor(s)

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