A Hybrid of Fireworks and Harmony Search Algorithm for Multilevel Image Thresholding

被引：2
|
作者：
Shivali [1 ,2 ]
Maurya, Lalit [1 ]
Sharma, Ekta [1 ,2 ]
Mahapatra, Prasant [1 ]
Doegar, Amit [2 ]
机构：
[1] CSIR Cent Sci Instruments Org, Biomed Instrumentat Div V 2, Sect 30, Chandigarh 160030, India
[2] Natl Inst Tech Teachers Training & Res, Dept Comp Sci & Engn, Sect 26, Chandigarh 160019, India
来源：
ADVANCED COMPUTING AND COMMUNICATION TECHNOLOGIES | 2018年 / 562卷
关键词：
Image segmentation; Multilevel image thresholding; Fireworks algorithm; Harmony search algorithm; Kapur's entropy;
D O I：
10.1007/978-981-10-4603-2_2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Multilevel image thresholding is an essential part of image processing. This paper presents a hybrid implementation of fireworks and harmony search algorithm where Kapur's entropy is used as the fitness function for solving the problem. The results of the proposed method have been compared with the standard fireworks algorithm (FWA) and particle swarm optimization (PSO) based multi-level thresholding methods. Experimental results indicate that the proposed method is a promising approach in the field of image segmentation.
引用
收藏
页码：11 / 21
页数：11
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