Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation
MH Horng - Expert Systems with Applications, 2011 - Elsevier
Multilevel thresholding is an important technique for image processing and pattern
recognition. The maximum entropy thresholding (MET) has been widely applied in the …
recognition. The maximum entropy thresholding (MET) has been widely applied in the …
Multilevel minimum cross entropy threshold selection based on the honey bee mating optimization
MH Horng - Expert Systems with Applications, 2010 - Elsevier
Image thresholding is an important technique for image processing and pattern recognition.
Many thresholding techniques have been proposed in the literature. Among them, the …
Many thresholding techniques have been proposed in the literature. Among them, the …
A multilevel image thresholding using the honey bee mating optimization
MH Horng - Applied Mathematics and Computation, 2010 - Elsevier
Image thresholding is an important technique for image processing and pattern recognition.
Many thresholding techniques have been proposed in the literature. Among them, the …
Many thresholding techniques have been proposed in the literature. Among them, the …
Multilevel minimum cross entropy threshold selection based on the firefly algorithm
MH Horng, RJ Liou - Expert Systems with Applications, 2011 - Elsevier
The minimum cross entropy thresholding (MCET) has been widely applied in image
thresholding. The search mechanism of firefly algorithm inspired by the social behavior of …
thresholding. The search mechanism of firefly algorithm inspired by the social behavior of …
Multilevel image thresholding selection based on the firefly algorithm
MH Horng, TW Jiang - 2010 7th International Conference on …, 2010 - ieeexplore.ieee.org
The multilevel thresholding is an important technique for image processing and pattern
recognition. The maximum entropy thresholding has been widely applied in the literature. In …
recognition. The maximum entropy thresholding has been widely applied in the literature. In …
Multilevel minimum cross entropy threshold selection based on particle swarm optimization
PY Yin - Applied mathematics and computation, 2007 - Elsevier
Thresholding is one of the popular and fundamental techniques for conducting image
segmentation. Many thresholding techniques have been proposed in the literature. Among …
segmentation. Many thresholding techniques have been proposed in the literature. Among …
Improved artificial bee colony using sine-cosine algorithm for multi-level thresholding image segmentation
Multilevel-thresholding is an efficient method used in image segmentation. This paper
presents a hybrid meta-heuristic approach for multi-level thresholding image segmentation …
presents a hybrid meta-heuristic approach for multi-level thresholding image segmentation …
An improved PSO-based multilevel image segmentation technique using minimum cross-entropy thresholding
Entropy-based thresholding techniques are quite popular and effective for image
segmentation. Among different entropy-based techniques, minimum cross-entropy …
segmentation. Among different entropy-based techniques, minimum cross-entropy …
A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding
B Akay - Applied Soft Computing, 2013 - Elsevier
Segmentation is a critical task in image processing. Bi-level segmentation involves dividing
the whole image into partitions based on a threshold value, whereas multilevel …
the whole image into partitions based on a threshold value, whereas multilevel …
Multi-level image thresholding based on modified spherical search optimizer and fuzzy entropy
Multi-level thresholding is one of the effective segmentation methods that have been applied
in many applications. Traditional methods face challenges in determining the suitable …
in many applications. Traditional methods face challenges in determining the suitable …