Diagnosis of various blood related diseases adopts differential WBC count which plays an important and vital role. Counting the cells manually is a tedious task and, time consuming. Hence many automatic techniques have been developed which gives a faster and more accurate ways to count the blood cells. This paper describes the various techniques for WBC segmentation the basic steps involved are...

In this paper, we present a novel method based on active contours for segmentation and fuzzy rule based classification of microscopic images of esophagus tissues obtained from the abnormal regions of human esophagus detected through endoscopy. This method is used for classification of Squamous Cell Carcinoma (SCC) of esophagus, namely, well differentiated (WD), moderately differentiated (MD), a...

In this paper, rstly, it is proved that, for a fuzzy vector space, the set of its fuzzy bases de ned by Shi and Huang, is equivalent to the family of its bases de ned by P. Lubczonok. Secondly, for two fuzzy vector spaces, it is proved that they are isomorphic if and only if they have the same fuzzy dimension, and if their fuzzy dimensions are equal, then their dimensions are the same, however,...

In this paper we present an acceleration method for volumetric ray tracing which utilizes standard graphics hardware without compromising image accuracy. The graphics hardware is employed to ident@ those segments of each ray that could possibly contribute to the jinal image. A volumetric ray tracing algorithm is then used to compute the$nal image, traversing only the identi$ed segments of the r...

this paper presents a new hybrid particle swarm optimization with time varying acceleration coefficients (hpsotvac) and bacteria foraging algorithm (bfa) namely (psotvac/bfa) base fuzzy stochastic long term approach for determining optimum location and size of distributed energy resources (ders). the monte carlo simulation method is used to model the uncertainties associated with long-term load...

The development of soft computing methods has attracted considerable research interest over the past decade. They are applied to important fields such as control, signal processing, and system modeling. Although soft computing methods have shown great potential in these areas, they share some common shortcomings that hinder them from being used more widely. For example, neural networks, a compo...

in this paper, we introduce the notion of ($epsilon $, $epsilon $ $vee$ q_{k})− fuzzy subnear-ring which is a generalization of ($epsilon $, $epsilon $ $vee$ q)−fuzzy subnear-ring. we have given examples which are ($epsilon $, $epsilon $ $vee$ q_{k})−fuzzy ideals but they are not ($epsilon $, $epsilon $ $vee$ q)−fuzzy ideals. we have also introduced the notions of ($epsilon $, $epsilon $ $vee$ ...