Multilevel thresholding image segmentation has attracted a lot of attention in the last several
years since it has plenty of applications. The traditional exhaustive search methods are …

Image Segmentation is an open research area in which Multi-level thresholding is a topic of
current research. To automatically detect the threshold, histogram-based methods are …

Image segmentation is a very important and pre-processing step in image analysis. The
conventional multilevel thresholding methods are efficient for bi-level thresholding because …

Optimal multilevel thresholding for image segmentation got much importance in recent
years. Several entropic and non-entropic objective functions with evolutionary computing …

Image thresholding is one of most effective segmentation approaches, and multilevel
thresholding approach is widely applied for segmentation. Multilevel thresholding segments …

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

Multilevel thresholding is one of the principal methods of image segmentation. These
methods enjoy image histogram for segmentation. The quality of segmentation depends on …

Multilevel thresholding is one of the most important areas in the field of image segmentation.
However, the computational complexity of multilevel thresholding increases exponentially …

Color image multilevel thresholding segmentation based on metaheuristic optimization
algorithm and histogram has been widely used in many fields, but histogram neglects the …

One of the fundamental problems in image processing is image segmentation identifying the
objects and other structures in the image. Image thresholding is one of the widely used …