A Hybrid Improved Group Search Optimization and Otsu Method for Color Image Segmentation

Pacífico, Luciano D. S.; Ludermir, Teresa B.; Britto, Larissa

doi:10.1109/bracis.2018.00058

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…2. The parameters for each algorithm are presented in Table 1, according to [Ye et al 2015, Pacifico et al 2018].…”

Section: Resultsmentioning

confidence: 99%

“…In [Rodríguez-Esparza et al 2020], Harris Hawks Optimization (HHO) haven been adapted to multi-level thresholding, using the Minimum Cross-Entropy as the fitness function. Particle Swarm Optimization (PSO) [Kennedy and Eberhart 1995] and Group Search Otpimization (GSO) [He et al 2009] have also been hybridized with Otsu algorithm in [Zhang and Zhou 2012] and [Ye et al 2015, Pacifico et al 2018, respectively.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Multilevel Thresholding Approach Based on Improved Particle Swarm Optimization for Color Image Segmentation

Britto

Pacífico

Ludermir

2020

Anais Do Encontro Nacional De Inteligência Artificial E Computacional (ENIAC 2020)

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In this paper, a hybrid Otsu and improved Particle Swarm Optimization (PSO) algorithm is presented to deal with multilevel color image thresholding problem, named APSOW. In APSOW, the historical information represented by the local best solutions found so far by PSO population are permuted among the current population, using a randomized greedy process. APSOW also implements a weedout operator to prune the worst individuals from the population. The proposed APSOW is compared to other hybrid EAs and Otsu approaches from literature (include standard PSO model) through twelve benchmark color image problems, showing its potential and robustness.

show abstract

“…2. The parameters for each algorithm are presented in Table 1, according to [Ye et al 2015, Pacifico et al 2018].…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Multilevel Thresholding Approach Based on Improved Particle Swarm Optimization for Color Image Segmentation

Britto

Pacífico

Ludermir

2020

Anais Do Encontro Nacional De Inteligência Artificial E Computacional (ENIAC 2020)

View full text Add to dashboard Cite

show abstract

An evaluation of k-means as a local search operator in hybrid memetic group search optimization for data clustering

Pacífico

Ludermir

2020

Nat Comput

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Zanthoxylum bungeanum Fruit Detection by Adaptive Thresholds in HSV Space for an Automatic Picking System

He,

Cheng,

Jiwa

et al. 2023

IEEE Sensors J.

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A Hybrid Improved Group Search Optimization and Otsu Method for Color Image Segmentation

Cited by 4 publications

References 15 publications

A Multilevel Thresholding Approach Based on Improved Particle Swarm Optimization for Color Image Segmentation

A Multilevel Thresholding Approach Based on Improved Particle Swarm Optimization for Color Image Segmentation

An evaluation of k-means as a local search operator in hybrid memetic group search optimization for data clustering

Zanthoxylum bungeanum Fruit Detection by Adaptive Thresholds in HSV Space for an Automatic Picking System

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