Genetic algorithms for optimal image enhancement
References (9)
- et al.
Automatic selection of object enhancement operator with quantitative justification based on fuzzy set theoretic measure
Pattern Recognition Lett.
(1990) - et al.
Fuzzy geometry in image analysis
Fuzzy Sets and Systems
(1992) - et al.
A note on genetic algorithms for large-scale feature selection
Pattern Recognition Lett.
(1989) - et al.
Scene recognition using genetic algorithms with semantic nets
Pattern Recognition Lett.
(1990)
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Contrast and brightness balance in image enhancement using Cuckoo Search-optimized image fusion
2022, Journal of King Saud University - Computer and Information SciencesCitation Excerpt :Recent advancements in image enhancement have included the use of nature-inspired metaheuristic algorithms to automate it by optimizing the parameters of the algorithm by some defined objective function. ( Pal et al., 1994) proposed a Genetic Algorithm (GA)-based image enhancement with the combination of different transformation functions. ( Hashemi, 2010) applied an IE technique using a simple chromosome structure and genetic operators. (
Modeling and optimization of galena dissolution in a binary solution of nitric acid and ferric chloride using artificial neural network coupled with genetic algorithm and response surface methodology
2020, South African Journal of Chemical EngineeringCitation Excerpt :They combine survival of the fittest among string structures with an organized, yet randomized, data exchange to form a search strategy with some of the innovative flair of human search. They effectively take advantage of recorded data to conjecture on new search points with expected improved performance utilizing genetically inspired operators on potential solutions in an iterative way (Pal et al., 1994). A genetic algorithm is basically made up of three operators: reproduction, crossover and mutation.
Self-adaptive dragonfly based optimal thresholding for multilevel segmentation of digital images
2018, Journal of King Saud University - Computer and Information SciencesModified chameleon swarm algorithm for brightness and contrast enhancement of satellite images
2024, Multimedia Tools and ApplicationsCombination of genetic algorithms and K-means for a hybrid topic modeling: tourism use case
2023, Evolutionary IntelligenceModified Discrete Differential Evolution with Neighborhood Approach for Grayscale Image Enhancement
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