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International Journal of

Recent Trends in Engineering

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International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1, Number 3, May 2009

Issue on Electrical & Electronics

Page(s): 350-352

Feature Extraction Algorithms for Abnormality Quantification from Medical Thermograms

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

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Abstract

Infrared Thermography can be used as a diagnostic procedure for determining abnormality in human. Thermographs provide the thermal mapping of the area under observation. For normal cases, thermographs show uniform and symmetrical temperature distribution. An abnormality appears as an abrupt temperature variation in thermographs. Quantitative characterization of temperature variation provides information about the nature of the abnormality. However the temperature variations cannot be easily quantified by naked eye. This paper presents two feature extraction algorithms based on region growing and wavelets for detection and quantitative characterization of the abnormality.

Index Terms

Thermograms, region growing, Haar, feature vectors

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