Image thresholding considered as a popular method for image segmentation. So far, many
approaches have been proposed for image thresholding. Maximum entropy thresholding …

Image segmentation is one of the most important tasks in image processing and pattern
recognition. One of the most efficient and popular techniques for image segmentation is …

Segmentation is low-level image transformation routine that partitions an input image into
distinct disjoint and homogeneous regions using thresholding algorithms. This paper …

Multilevel thresholding plays a significant role in the arena of image segmentation. The main
issue of multilevel image thresholding is to select the optimal combination of threshold value …

Image thresholding is an important technique for image processing and pattern recognition.
The maximum entropy thresholding (MET) has been widely applied. A new multilevel MET …

Image segmentation is a very important and pre-processing step in image analysis. The
conventional multilevel thresholding methods are efficient for bi-level thresholding because …

We introduce an alternative hybrid swarm algorithm for image segmentation that employs
multilevel thresholding techniques. For the hybridization, we have combined the whale …

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

The image segmentation techniques based on multi-level threshold value received lot of
attention in recent years. It is because they can be used as a pre-processing step in complex …

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