Hybridizing Differential Evolution with a Genetic Algorithm for Color Image Segmentation
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...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
D. G. Pylarinos
2016-10-01
|
Series: | Engineering, Technology & Applied Science Research |
Subjects: | |
Online Access: | https://etasr.com/index.php/ETASR/article/view/799 |