In this paper, an improved multithreshold image segmentation method based on the whale
optimization algorithm (RAV-WOA) is proposed, with the between-class variance (Otsu …

The separation of an object from other objects or the background by selecting the optimal
threshold values remains a challenge in the field of image segmentation. Threshold …

Because of the problem of the whale optimization algorithm (WOA), such as weak local
search ability, easy fall into local optimality, unable to better balance the exploration and …

Multilevel thresholding is an effective and indispensable technology for image segmentation
that has attracted extensive attention in recent years. However, the multilevel thresholding …

In this paper, a multilevel thresholding image segmentation method base on the
enhancement of the performance of the whale optimization algorithm (WOA). The developed …

Determining the optimal thresholding for image segmentation has got more attention in
recent years since it has many applications. There are several methods used to find the …

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

This chapter proposes a new method for determining the multilevel thresholding values for
image segmentation. The proposed method considers the multilevel threshold as multi …

Traditional methods to address color image segmentation work efficiently for bi-level
thresholding. However, for multi-level thresholding, traditional methods suffer from time …

In view of the slow convergence speed of traditional particle swarm optimization algorithms,
which makes it easy to fall into local optimum, this paper proposes an OTSU multi-threshold …