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Multiscale toggle contrast operator‐based mineral image enhancement
Author(s) -
BAI X.,
ZHOU F.
Publication year - 2011
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/j.1365-2818.2010.03487.x
Subject(s) - contrast (vision) , operator (biology) , image (mathematics) , image contrast , computer science , structuring , artificial intelligence , computer vision , bitwise operation , algorithm , pattern recognition (psychology) , chemistry , biochemistry , finance , repressor , transcription factor , economics , gene , programming language
Summary Mineral image is one type of crucial data for mineral research and analysis. However, some mineral images are not clear in some cases. To efficiently enhance mineral images and therefore benefit the applications of these images, a multiscale toggle contrast operator based algorithm is proposed in this paper. First, the toggle contrast operator is discussed. Secondly, the multiscale toggle contrast operator using structuring elements with different sizes is given. Thirdly, the multiscale toggle contrast operator is used to enhance the original image at different scales. Finally, the final enhanced image is constructed from the multiscale enhanced results. Because multiscale structuring elements are used, the algorithm performs efficiently and produces few noises. Experimental results show that the proposed algorithm is efficient for mineral image enhancement. More importantly, the proposed algorithm could be also used in other types of images, such as visual image, medical image and so on, for image enhancement.