Image segmentation is among the most important techniques in image processing, and
many methods have been developed to perform this task. This paper presents a new multi …

The grayscale co-occurrence matrix (GLCM) can be adapted to segment the image
according to the pixels, but the segmentation effect becomes worse as the number of …

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

In this paper, a new hybrid whale optimization algorithm (WOA) called WOA-DE is proposed
to better balance the exploitation and exploration phases of optimization. Differential …

Nowadays, digital images are present in a multitude of devices. The use of cameras has
increased over the last ten years, and now they are present in many aspects of our life …

Multilevel thresholding for image segmentation is a crucial process in several applications
such as feature extraction and pattern recognition. In this paper, a novel Masi entropy-based …

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 …

In this paper, a novel context-based 3D Otsu algorithm using human learning optimization
(HLO) is proposed for multilevel color image segmentation. The performance of 3D Otsu …

In this paper, a context-sensitive energy curve based cross-entropy method for multilevel
color image segmentation is proposed. In thresholding approaches, pixels are arranged in …

Colored satellite images are difficult to segment due to their low illumination, dense features,
uncertainties, etc. Rényi's entropy is a famous entropy criterion that provides excellent …