Multilevel thresholding is one of the most popular approaches used for image segmentation.
Several methods have been used to find the threshold values; however, metaheuristic (MH) …

Multilevel thresholding techniques based on gray histogram are usually computationally
expensive for the image segmentation. In this paper, we propose a novel thresholding …

Image processing is one of the major research regions in the most recent decades, in which,
image segmentation has gained more popularity due to its enormous applications. Before …

Image Segmentation is an open research area in which Multi-level thresholding is a topic of
current research. To automatically detect the threshold, histogram-based methods are …

Multilevel thresholding segmentation of color images plays an important role in many fields.
The pivotal procedure of this technique is determining the specific threshold of the images …

Image thresholding is a very common image processing operation, since all image
processing schemes need some sort of operation of the pixels into different classes. In order …

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 …

Color image segmentation is a vital preprocessing stage in various image processing
applications. In threshold-based segmentation, the success of the image segmentation …

Multilevel thresholding has got more attention in recent years with various successful
applications. However, the implementation becomes more and more complex and time …

Multilevel thresholding is a simple and effective method in numerous image segmentation
applications. In this paper, we propose a new multilevel thresholding method that uses …