This paper presents a multi-level image thresholding approach based on fuzzy partition of
the image histogram and entropy theory. Here a fuzzy entropy based approach is adopted in …

Image entropy thresholding is one of the most widely used technique for multilevel
thresholding. The endeavor of this paper is to focus on obtaining the optimal threshold …

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 …

Entropy-based thresholding techniques are quite popular and effective for image
segmentation. Among different entropy-based techniques, minimum cross-entropy …

The multilevel thresholding method with maximum entropy is one of the most important
image segmentation methods in image processing. However, its time-consuming …

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) …

In this paper, five successful nature inspired algorithms; the artificial tree algorithm (AT), the
particle swarm optimization (PSO), the genetic algorithm (GA), the cultural algorithm (CA) …

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

Multilevel thresholding is a very important image processing technique in the field of image
segmentation. However, the computational complexity of determining the optimal threshold …

Multilevel thresholding image segmentation has always been a popular issue and attracted
the attention of many researchers in recent years since it has many applications. However …