Granular Multilevel Rough Entropy Thresholding in 2D Domain
نویسندگان
چکیده
The paper addresses the problem of image segmentation in 2D domain by means of maximizing rough entropy measure in granular computing setting. Proposed 2D multilevel rough entropy thresholding extends multilevel thresholding scheme into 2D image thresholding. Proposed thresholding algorithm 2D MRET has been compared with standard multilevel thresholding based on Otsu method. Experimental results suggest that proposed solution has proved to be equally robust as standard Otsu method, outperforming the latter in many experimental runs.
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