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Enhancing microscopy images of minerals through morphological center operator‐based feature extraction
Author(s) -
Bai Xiangzhi
Publication year - 2013
Publication title -
microscopy research and technique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 118
eISSN - 1097-0029
pISSN - 1059-910X
DOI - 10.1002/jemt.22147
Subject(s) - artificial intelligence , image (mathematics) , feature (linguistics) , feature extraction , mineral , pattern recognition (psychology) , computer science , feature detection (computer vision) , computer vision , image processing , materials science , philosophy , linguistics , metallurgy
To well enhance the mineral image and image details obtained by microscopes, an effective mineral image enhancement algorithm through feature extraction using the morphological center operator is proposed in this work. First, mineral image feature extraction based on the morphological center operator is proposed and discussed. Second, the multiscale extension of the mineral image feature extraction is given by using the multiscale structuring elements. Third, the important mineral image features at multiscales of image are extracted and used to construct the final mineral features for mineral image enhancement. Finally, the original mineral image is well enhanced through importing the extracted final mineral image features into the original mineral image. Experimental results on different types of microscopy images of minerals verified the effective performance of the proposed algorithm for microscopy mineral image enhancement. Microsc. Res. Tech., 2013. © 2012 Wiley Periodicals, Inc.