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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