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 …

A new multilevel thresholding based image segmentation technique is developed which
utilizes Masi entropy as an objective function. Thresholding is an important image …

In this paper, we present a new multi-level image thresholding technique, called Automatic
Threshold based on Multi-objective Optimization “ATMO” that combines the flexibility of multi …

Image segmentation is considered a crucial step required for image analysis and research.
Many techniques have been proposed to resolve the existing problems and improve the …

Segmentation is an important step of image processing that directly affects its success.
Among the methods used for image segmentation, histogram-based thresholding is a very …

The segmentation of digital images is one of the most important steps in an image
processing or computer vision system. It helps to classify the pixels in different regions …

Image segmentation is an important problem for image processing. The image processing
applications are generally affectedfromthe segmentation success. There is noany image …

Nondeterministic metaheuristic optimization and digital image processing are two very
different research fields, both extremely active and applicable. They touch in a very limited …

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

In this paper, we focus on the problem of fast color image segmentation and propose a two-
stage image segmentation method using multi-level thresholding algorithm and statistical …