This paper proposes a multi-threshold image segmentation method based on modified salp
swarm algorithm (SSA). Multi-threshold image segmentation method has good …

One of the most important methods of image processing is image thresholding, which is
based on image histogram analysis. These methods analyze the image histogram diagram …

Multi-level thresholding is a helpful tool for several image segmentation applications.
Evaluating the optimal thresholds can be applied using a widely adopted extensive scheme …

The conventional thresholding methods are very efficient for bi-level thresholding, but the
computational complexity may be excessively high for color image multilevel thresholding …

Image segmentation is a process of portion image into regions. From image segmentation
schemes available, multilevel thresholding on the histogram is a highly established method …

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

Digital images are widely used and numerous application in different scientific fields use
digital image processing algorithms where image segmentation is a common task …

Thresholding plays an important role in image segmentation and image analysis. In this
paper, the normalized histogram of an image is fitted by a linear combined normal …

Image segmentation is one of the popular tasks in image processing that can be used in
several applications. For that, there are several methods have been proposed for image …

The multi-level thresholding is a popular method for image segmentation. However, the
method is computationally expensive and suffers from premature convergence when level …