Image thresholding is a process that separates particular object within an image from their
background. An optimal thresholding technique can be taken as a single objective …

This paper presents a multi-level image thresholding approach based on fuzzy partition of
the image histogram and entropy theory. Here a fuzzy entropy based approach is adopted in …

Image segmentation is an essential step involved in most computer vision systems used in
several areas such as engineering, communications, transportation, business, and social …

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

Multilevel thresholding image segmentation is an important technique, which has attracted
much attention in recent years. The conventional exhaustive search method for image …

Multilevel thresholding technique is popular and extensively used in the field of image
processing. In this paper, a multilevel threshold selection is proposed based on edge …

Multilevel thresholding is a popular image segmentation technique. However, computational
complexity of multilevel thresholding increases very rapidly with increasing number of …

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

Most of the traditional histogram-based thresholding techniques are effective for bi-level
thresholding and unable to consider spatial contextual information of the image for selecting …

Color image thresholding is a well-known approach for image segmentation. An objective
function, based on image entropy, is defined by threshold numbers and locations in the color …