The entropy image thresholding technique is much in demand today for image
segmentation. Furthermore, population algorithm aided thresholding techniques have been …

Multilevel image thresholding is an essential part of image processing. This paper presents
a hybrid implementation of fireworks and harmony search algorithm where Kapur's entropy …

Image thresholding is an important and efficient image segmentation technique, which is
crucial and essential for image analysis and computer vision. In this paper, we proposed a …

Abstract The Kapur and Otsu methods are widely used image thresholding approaches and
they are very efficient in bi-level thresholding applications. Evolutionary algorithms have …

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

Image thresholding is an important technique for image processing and pattern recognition.
Many thresholding techniques have been proposed in the literature. Among them, the …

This paper proposes a global multi-level thresholding method for image segmentation. As a
criterion for this, the traditional method uses the Shannon entropy, originated from …

In the normal image thresholding methods based on two-dimensional histogram, the edge
information of the regions is not maintained because of the local averaging activity used …

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 amounts to segmenting a gray-level image into several distinct
regions. This paper presents a 2D histogram based multilevel thresholding approach to …