Title :
Health examination based on iris images
Author :
Lai, Cheng-liang ; Chiu, Chien-lun
Author_Institution :
Dept. of Inf., Fo Guang Univ., Ilan, Taiwan
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580885