Novel Chaotic Elephant Herding Optimization for Multilevel Thresholding of Color Image

2020 ◽  
pp. 281-294
Author(s):  
Falguni Chakraborty ◽  
Provas Kumar Roy ◽  
Debashis Nandi
Keyword(s):  
Color Image ◽  
Multilevel Thresholding

scholarly journals A Novel Hybrid Harris Hawks Optimization for Color Image Multilevel Thresholding Segmentation

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 76529-76546 ◽  
Author(s):  
Xiaoli Bao ◽  
Heming Jia ◽  
Chunbo Lang
Keyword(s):  
Color Image ◽  
Multilevel Thresholding

Backtracking search algorithm for color image multilevel thresholding

2017 ◽  
Vol 12 (2) ◽  
pp. 385-392 ◽  
Author(s):  
S. Pare ◽  
A. K. Bhandari ◽  
A. Kumar ◽  
V. Bajaj
Keyword(s):  
Color Image ◽  
Search Algorithm ◽  
Multilevel Thresholding ◽  
Backtracking Search ◽  
Backtracking Search Algorithm

scholarly journals A Logistic Chaotic Barnacles Mating Optimizer With Masi Entropy for Color Image Multilevel Thresholding Segmentation

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 213130-213153
Author(s):  
Hongbo Li ◽  
Gang Zheng ◽  
Kangjian Sun ◽  
Zichao Jiang ◽  
Yao Li ◽  
...  
Keyword(s):  
Color Image ◽  
Multilevel Thresholding ◽  
Masi Entropy

scholarly journals A Fuzzy Adaptive Firefly Algorithm for Multilevel Color Image Thresholding Based on Fuzzy Entropy

2021 ◽  
Vol 15 (4) ◽  
pp. 1-20
Author(s):  
Yi Wang ◽  
Kangshun Li
Keyword(s):  
Heuristic Search ◽  
Firefly Algorithm ◽  
Color Image ◽  
Search Algorithm ◽  
Color Images ◽  
Multilevel Thresholding ◽  
Threshold Values ◽  
Heuristic Search Algorithm ◽  
Kapur’S Entropy ◽  
Fuzzy Adaptive

Multilevel thresholding image segmentation has always been a hot issue of research in last several years since it has a plenty of applications. Traditional exhaustive search method consumes a lot of time for searching the optimal multilevel thresholding, color images contain more information, solving multilevel thresholding will become worse. However, the meta-heuristic search algorithm has unique advantages in solving multilevel threshold values. In this paper, a fuzzy adaptive firefly algorithm (FaFA) is proposed to solve the optimal multilevel thresholding for color images, and the fuzzy Kapur's entropy is considered as its objective function. In the FaFA, a fuzzy logical controller is designed to adjust the control parameters. A total of six satellite remote sensing color images are conducted in the experiments. The performance of the FaFA is compared with FA, BWO, SSA, NaFA and ODFA. Some measure metrics are performed in the experiments. The experimental results show that the FaFA obviously outperforms other five algorithms.

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