There are many techniques for conducting image analysis and pattern recognition. This
papers explores a way to optimize one of these techniques—image segmentation—with the …

The Otsu's method has been proven as an efficient method in image segmentation for bi-
level thresholding. However, this method is computationally intensive when extended to …

Image thresholding is a reputed image segmentation process, extensively used to attain a
binary image from a grey scale image. In this article, a bi-level and multi-level image …

This paper proposes a new multilevel thresholding method segmenting images based on
particle swarm optimization (PSO). In the proposed method, the thresholding problem is …

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 …

Thresholding is an important approach for image segmentation and it is the first step in the
image processing for many applications. Segmentation is a low level operation that can …

Multilevel thresholding is one of the most popular approaches used for image segmentation.
Several methods have been used to find the threshold values; however, metaheuristic (MH) …

Multilevel thresholding has been long considered as one of the most popular techniques for
image segmentation. Multilevel thresholding outputs a gray scale image in which more …

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