Image segmentation is one of the crucial steps involved in the process of digital image
processing. Bi-level segmentation is a simple task, but it can only be used when there are …

The multi-level thresholding is one of the most important issues in image segmentation. It is
a time consuming problem, ie finding appropriate threshold values could take exceptionally …

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

Colored satellite images are difficult to segment due to their low illumination, dense features,
uncertainties, etc. Rényi's entropy is a famous entropy criterion that provides excellent …

Particularly in recent years, there has been increased interest in determining the ideal
thresholding for picture segmentation. The best thresholding values are found using various …

Multilevel thresholding of images helps in separating the interesting objects from their
background. The quality of separation depends much on the selected threshold values. This …

Variance-based thresholding method is a very effective technology for image segmentation.
However, its performance is limited in traditional one-dimensional and two-dimensional …

In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …

Previous optimal thresholding methods are popular and efficient in the case of bi-level
thresholding but are computationally expensive when extended to multilevel thresholding to …