Extraction and quantification techniques for abnormality detection from medical thermographs in human

Author

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

Author_Institution

Sathyabama Univ., Chennai, India

fYear

2010

fDate

29-31 July 2010

Firstpage

1

Lastpage

4

Abstract

Nowadays Infrared thermography is widely accepted as a medical diagnostic tool. Thermographs are acquired for the whole body or the region of interest. Thermographs are processed for abnormality detection and quantification. As temperature variations are not normally visible to naked eye it is necessary to develop and analyze the feature extraction algorithms for abnormality detection. This paper analyzes the performance of three feature extraction algorithms used for abnormality detection. The developed techniques are applied on Arthritis and stress fracture thermographs.

Keywords

biomedical optical imaging; feature extraction; infrared imaging; medical image processing; patient diagnosis; abnormality detection; arthritis thermographs; feature extraction algorithms; infrared thermography; medical diagnostic tool; medical thermographs; quantification techniques; stress fracture thermographs; Arthritis; Feature extraction; Image edge detection; Pixel; Stress; Temperature measurement; conventional image processing; feature vectors; region growing; thermographs; wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing Communication and Networking Technologies (ICCCNT), 2010 International Conference on

Conference_Location

Karur

Print_ISBN

978-1-4244-6591-0

Type

conf

DOI

10.1109/ICCCNT.2010.5591808

Filename

5591808