Multilevel-thresholding is an efficient method used in image segmentation. This paper
presents a hybrid meta-heuristic approach for multi-level thresholding image segmentation …

Multilevel thresholding is an important technique for image processing and pattern
recognition. The maximum entropy thresholding (MET) has been widely applied in the …

In this paper, a modified artificial bee colony (MABC) algorithm based satellite image
segmentation using different objective function has been presented to find the optimal …

As a popular evolutionary algorithm, Artificial Bee Colony (ABC) algorithm has been
successfully applied into threshold-based image segmentation. Due to its one dimension …

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 …

Image thresholding is an important technique for image processing and pattern recognition.
Many thresholding techniques have been proposed in the literature. Among them, the …

Multilevel thresholding is a very important image processing technique in the field of image
segmentation. However, the computational complexity of determining the optimal threshold …

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 …

Multilevel thresholding is one of the most popular image segmentation techniques. In order
to determine the thresholds, most methods use the histogram of the image. This paper …

In digital image processing, one of the most relevant tasks is to classify pixels depending on
their intensity level. To perform this process there exist different traditional methods as Otsu …