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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2010 Vol.2(4): 514-516 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.194

Euclidean Distance Based Color Image Segmentation of Abnormality Detection from Pseudo Color Thermographs

N. Selvarasu, Alamelu Nachiappan and N. M. Nandhitha

Abstract—Infrared thermography, non-contact, noninvasive technique is widely accepted as a medical diagnostic tool. An IR camera captures heat variations from the skin and maps into thermographs. Thermographs are acquired for the whole body or the region of interest. Thermographs either gray scale or pseudo color are processed for abnormality detection and quantification. However temperature variations are not normally visible to naked eye. Hence it is necessary to develop and analyze the feature extraction algorithms for abnormality detection. This paper proposes Euclidean distance based color image segmentation algorithm for abnormality extraction. Pseudo color thermographs of arthritis, stress fracture, ankle injury and fracture are considered.

Index Terms—thermographs, pseudo color, Euclidean distance, feature vectors


Cite: N. Selvarasu, Alamelu Nachiappan and N. M. Nandhitha, "Euclidean Distance Based Color Image Segmentation  of  Abnormality Detection from Pseudo Color Thermographs,"  International Journal of Computer
Theory and Engineering
vol. 2, no. 4, pp. 514-516, 2010.  

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