DocumentCode
2253136
Title
Health examination based on iris images
Author
Lai, Cheng-liang ; Chiu, Chien-lun
Author_Institution
Dept. of Inf., Fo Guang Univ., Ilan, Taiwan
Volume
5
fYear
2010
fDate
11-14 July 2010
Firstpage
2616
Lastpage
2621
Abstract
This study combined iridology with image processing technique to conducts iris disease examination. Iridology is not to determine disease, but to reflect degeneration of organic functions, toxin precipitation and various unhealthy situations caused by mental or other factors. Iris test technique applies simple and non-invasive healthy examination method, helps the people prevent disease, and regularly follows up self-health conditions to achieve real-time prevention and treatment. The system consists of four modules: eye image capture, image preprocessing, texture feature extraction and symptomatic analysis. Following the input of eye image, the required iris part is acquired from eye images by using image preprocessing module. The texture feature extraction module utilizes 2-D Gabor filter to extract texture feature. The symptomatic analysis module uses fuzzy theory to evaluate severity of organ symptoms.
Keywords
Gabor filters; diseases; feature extraction; fuzzy set theory; health care; image texture; medical image processing; patient treatment; 2D Gabor filter; eye image capture; fuzzy theory; health examination; image preprocessing; image processing; iridology; iris disease examination; iris images; noninvasive healthy examination; organ symptoms; organic function degeneration; real-time prevention; real-time treatment; symptomatic analysis; texture feature extraction; toxin precipitation; Diseases; Equations; Feature extraction; Iris; Iris recognition; Mathematical model; Viscera; 2-D Gabor filter; Fuzzy theory; Iridology;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580885
Filename
5580885
Link To Document