Feature Extraction For Application of Heart Abnormalities Detection Through Iris Based on Mobile Devices
Journal Title: EMITTER International Journal of Engineering Technology - Year 2017, Vol 5, Issue 2
Abstract
World Health Organization (WHO) data in 2012 showed 17.5 million people worldwide died from heart disease or 31% of 56.5 million deaths and examining it by current methods in hospitals is not cheap. Iridology is an alternative medicine technique whose proponents claim that patterns, colors, and other characteristics of the iris can be examined to determine information about a patient's systemic health. One research on computer iridology is about the computer's iridology system to detect heart conditions. There are several stages such as capture eye base on target, pre-processing, cropping, segmentation, feature extraction and classification using Thresholding algorithms. In this study, feature extraction process performed using binarization method by transforming the image into black and white. In this process we compare the two approaches of binarization method, binarization based on grayscale images and binarization based on proximity. The system we proposed was tested at Mugi Barokah Clinic Surabaya. We conclude that the image grayscale approach performs better classification than using proximity.
Authors and Affiliations
Entin Martiana Kusumaningtyas, Ali Ridho Barakbah, Aditya Afgan Hermawan
Keywords
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- EP ID EP320649
- DOI 10.24003/emitter.v5i2.202
- Views 84
- Downloads 0
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