Image thresholding is a common segmentation technique with applications in various fields,
such as computer vision, pattern recognition, microscopy, remote sensing, and biology. The …

Image segmentation is widely used as a fundamental step for various image processing
applications. This paper focuses on improving the famous image thresholding method …

This paper presents a new method for thresholding using an evolutionary algorithm for
optimizing image threshold especially for object segmentation. This method is resistant …

The objective of this paper is to propose an adaptive-evolutionary method for thresholding
which is used as an artificial intelligent algorithm for image segmentation especially for …

Thresholding is a commonly used technique for image segmentation. This paper presents
an efficient iterative algorithm for finding optimal thresholds that minimize a weighted sum-of …

Otsu's method is one of the most well‐known methods for automatic thresholding, which
serves as an important algorithm category for image segmentation. However, it fails if the …

Thresholding is a popular image segmentation method that converts gray-level image into
binary image. The selection of optimum thresholds has remained a challenge over decades …

Image segmentation is a significant technology for image process. Many segmentation
methods have been brought forward to deal with image segmentation, among these …

High level tasks in image analysis and understanding are based on accurate image
segmentation which can be accomplished through multilevel thresholding. In this paper, we …

Image segmentation is an important branch of image processing. Among numerous
segmentation techniques, thresholding is a very important and effective one which segments …