Document Detail


Enhancing microscopy images of minerals through morphological center operator-based feature extraction.
MedLine Citation:
PMID:  23139236     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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., 2012. © 2012 Wiley Periodicals, Inc.
Authors:
Xiangzhi Bai
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-11-9
Journal Detail:
Title:  Microscopy research and technique     Volume:  -     ISSN:  1097-0029     ISO Abbreviation:  Microsc. Res. Tech.     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-9     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9203012     Medline TA:  Microsc Res Tech     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Wiley Periodicals, Inc.
Affiliation:
Image Processing Centre, Beijing University of Aeronautics and Astronautics, Beijing 100191, China. jackybxz163@163.com.
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