doi: 10.7763/IJCTE.2010.V2.194
Euclidean Distance Based Color Image Segmentation of Abnormality Detection from Pseudo Color Thermographs
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.
Keywords
- thermographs
- pseudo color
- Euclidean distance
- feature vectors
How to 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. https://doi.org/10.7763/IJCTE.2010.V2.194
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).