We propose a novel multi-level thresholding method for unsupervised separation between
objects and background from a natural color image using the concept of the minimum cross …

Image entropy thresholding is one of the most widely used technique for multilevel
thresholding. The endeavor of this paper is to focus on obtaining the optimal threshold …

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

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

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 …

Multilevel thresholding for image segmentation is a crucial process in several applications
such as feature extraction and pattern recognition. The meticulous search for the best values …

Multilevel image segmentation is a technique that divides images into multiple
homogeneous regions. In order to improve the effectiveness and efficiency of multilevel …

Multilevel thresholding has got more attention in recent years with various successful
applications. However, the implementation becomes more and more complex and time …

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 …

The image segmentation techniques based on multi-level threshold value received lot of
attention in recent years. It is because they can be used as a pre-processing step in complex …