An image segmentation method using automatic threshold based on improved genetic selecting algorithm

In this paper, an image segmentation method using automatic threshold based on improved genetic selecting algorithm is presented. Optimal threshold for image segmentation is converted into an optimization problem in this new method. In order to achieve good effects for image segmentation, the optima...

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Bibliographic Details

Published in:	Automatic control and computer sciences Vol. 50; no. 6; pp. 432 - 440
Main Authors:	Wang, Zhiwen, Wang, Yuhang, Jiang, Lianyuan, Zhang, Canlong, Wang, Pengtao
Format:	Journal Article
Language:	English
Published:	New York Allerton Press 01.11.2016 Springer Nature B.V
Subjects:	Algorithms Computer Science Computer vision Control Structures and Microprogramming Image segmentation Normal distribution Optimization Parameters Simulated annealing Otsu improved genetic selecting algorithm automatic threshold image segmentation
ISSN:	0146-4116, 1558-108X
Online Access:	Get full text
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