Fuzzy 2-partition entropy threshold selection based on Big Bang–Big Crunch Optimization algorithm
The fuzzy 2-partition entropy approach has been widely used to select threshold value for image segmenting. This approach used two parameterized fuzzy membership functions to form a fuzzy 2-partition of the image. The optimal threshold is selected by searching an optimal combination of parameters of...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2015-03-01
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Series: | Egyptian Informatics Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110866515000080 |