Multilevel thresholding is an important approach for image segmentation which has drawn
much attention during the past few years. The Tsallis entropy method is implemented for its …

Multilevel thresholding is a simple and powerful image segmentation method that has
received widespread attention in recent years. However, the accuracy and stability of …

Segmentation is considered as one of the most significant tasks in image processing. It
consists of separating the pixels into different segments based on their intensity level …

Multilevel thresholding for image segmentation is a crucial process in several applications
such as feature extraction and pattern recognition. The meticulous search for the best values …

Image segmentation is one of the popular tasks in image processing that can be used in
several applications. For that, there are several methods have been proposed for image …

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 multi-level thresholding is a popular method for image segmentation. However, the
method is computationally expensive and suffers from premature convergence when level …

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

Amongst all the multilevel thresholding techniques, standard histogram based thresholding
approaches are very impressive for bi-level thresholding. But, it is not effective to select …

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 …