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Measure of microscopy mineral image clarity constructed using the sequentially combined toggle and top‐hat based contrast operator
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.22233
Subject(s) - clarity , measure (data warehouse) , image (mathematics) , feature (linguistics) , contrast (vision) , operator (biology) , computer science , artificial intelligence , computer vision , pattern recognition (psychology) , mathematics , data mining , chemistry , biochemistry , linguistics , philosophy , repressor , transcription factor , gene
Correctly and effectively quantifying the clarity of microscopy mineral image is important and useful to produce clear image for mineral analysis. To well quantify the clarity of mineral image, an effective measure constructed using the sequentially combined toggle and top‐hat based contrast operator is proposed in this article. First, the sequentially combined toggle and top‐hat based contrast operator is used to extract the effective features which represent the clarity of mineral image. Second, the multiscale clarity features corresponding to each scale are extracted. Finally, after combining the multiscale clarity features in one feature image, the mean value of the feature image is constructed as the measure of mineral image clarity. Because the sequentially combined toggle and top‐hat based contrast operator could effectively extract the clarity features, the clarity features are directly used as the measure of image clarity. Therefore, the proposed measure is effective and reasonable. The experimental results on different types of microscopy mineral images verified the effective performance of the proposed measure. Microsc. Res. Tech. 76:811–817, 2013 . © 2013 Wiley Periodicals, Inc.