The automatic application of diagnosis of diabetes based on thermograph

Author

Liu, Xiaowei ; Jiang, Guotai

Author_Institution

Coll. of Life Sci. & Med. Eng., Tongji Univ., Shanghai, China

Volume

2

fYear

2002

fDate

2002

Firstpage

1153

Abstract

A new method for diagnosis of diabetes using thermographs is introduced, then its automatic application by means of digital image processing is discussed. Here a Laplacian-Gaussian kernel is used to extract the contour and thinning is used to obtain the corresponding temperature distribution of the hand-shape images. After this the temperature data is applied to the diagnosis model and the patients in the experiments are classified.

Keywords

Laplace transforms; biomedical optical imaging; biothermics; diseases; image thinning; infrared imaging; medical image processing; spectral methods of temperature measurement; Laplacian-Gaussian kernel; automatic application; contour extraction; diabetes diagnosis; digital image processing; hand-shape images; temperature distribution; thermograph; thinning; Arteries; Biochemistry; Blood; Diabetes; Equations; Humans; Image restoration; Infrared imaging; Kernel; Temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1106322

Filename

1106322