Paper
24 November 2014 An image similarity measure method based on mathematical morphology
Author Affiliations +
Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93010D (2014) https://doi.org/10.1117/12.2069293
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jinrong Zhong, Yuwen Zhou, and Jiayu Lin "An image similarity measure method based on mathematical morphology", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93010D (24 November 2014); https://doi.org/10.1117/12.2069293
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Cited by 1 scholarly publication.
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KEYWORDS
Mathematical morphology

Distortion

Image segmentation

Nonlinear filtering

Visualization

Image registration

Image retrieval

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