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...

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Bibliographic Details
Main Authors: Baljit Singh Khehra, Amar Partap Singh Pharwaha, Manisha Kaushal
Format: Article
Language:English
Published: Elsevier 2015-03-01
Series:Egyptian Informatics Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866515000080