This study proposes a method to enhance the Chaos Game Optimization (CGO) algorithm
for efficient multilevel image thresholding by incorporating a fitness distance balance …

Multilevel thresholding is a fundamental, substantial and constructive technique that has
been widely recognized and concerned in recent years. However, the computational …

Though effective in the segmentation, conventional multilevel thresholding methods are
computationally expensive as exhaustive search are used for optimal thresholds to optimize …

Multi-level image thresholding is a common approach to image segmentation for which
population-based metaheuristic algorithms present an interesting alternative to conventional …

Multilevel thresholding-based image segmentation plays a vital role in image processing. It
significantly impacts many applications, such as remote sensing, pattern recognition, and …

Multilevel Thresholding (MLT) is a prominent image segmentation research field that can
effectively handle problems encountered while collecting meaningful information from a …

Multilevel thresholding image segmentation is an important technique, which has attracted
much attention in recent years. The conventional exhaustive search method for image …

Image segmentation is the process of separating pixels of an image into multiple classes,
enabling the analysis of objects in the image. Multilevel thresholding (MTH) is a method …

Multilevel thresholding is one of the most effective image segmentation methods, due to its
efficiency and easy implementation. This study presents a new multilevel thresholding …

The multilevel image thresholding is one of the important steps in multimedia tools to
understand and interpret the object in the real world. Nevertheless, 1-D Masi entropy is quite …