Hybridizing Differential Evolution with a Genetic Algorithm for Color Image Segmentation

Hybridizing Differential Evolution with a Genetic Algorithm for Color Image Segmentation

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This paper proposes a hybrid of differential evolution and genetic algorithms to solve the color image segmentation problem. Clustering based color image segmentation algorithms segment an image by clustering the features of color and texture, thereby obtaining accurate prototype cluster centers. In...

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Bibliographic Details
Main Authors: R. V. V. Krishna, S. Srinivas Kumar
Format: Article
Language:English
Published: D. G. Pylarinos 2016-10-01
Series:Engineering, Technology & Applied Science Research
Subjects:
differential evolution
genetic algorithm
clustering
segmentation
hybrid algorithms
rough sets
Online Access:https://etasr.com/index.php/ETASR/article/view/799

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