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Wireless ad hoc networks are characterized by random location of nodes, and the routes are generally multihop. A quantitative understanding of the relation between source-to-destination Euclidean distance and the hop count could provide us the knowledge about important network parameters such as granularity of localization, traffic load, end-to-end delay,(More)
This paper proposes a novel and probably the first method, using Attanassov intuitionistic fuzzy set theory to segment blood vessels and also the blood cells in pathological images. This type of segmentation is very important in detecting different types of human diseases, e.g., an increase in the number of vessels may lead to cancer in prostates, mammary,(More)
In this paper automatic leukocyte segmentation in pathological blood cell images is proposed using intuitionistic fuzzy and interval Type II fuzzy set theory. This is done to count different types of leukocytes for disease detection. Also, the segmentation should be accurate so that the shape of the leukocytes is preserved. So, intuitionistic fuzzy set and(More)
This study presents a novel method to detect edges that clusters, thresholds, and then detects edges of tumour/ hemorrhage region using intuitionistic fuzzy set theory. Clustering segments image into several clusters and histogram thresholding eliminates unwanted clusters that are not related to tumour/hemorrhage region. Finally, image is edge detected,(More)