A Non-invasive Framework for Detecting Hypercholesterolemia using Computer Vision
Aditya Arora,  Neha Paggowal,  Diksha Chawla,  Ekagrata Sharma
Hypercholesterolemia or high cholesterol levels in the blood is quite commonly observed in the adults today. This condition is generally caused due to unhealthy diets or lack of exercise among other reasons and could lead to stroke or atherosclerosis. The total cholesterol in the blood can be calculated using invasive methods, i.e. lipid profile test. The side effect of having hypercholesterolemia is developing a condition called arcus senilis which refers to having grey in the edges of the iris. This paper proposes a non-invasive technique for detecting hypercholesterolemia and produces relevant results after proper analysis. The technique involves computer vision as a major tool for determining the levels of cholesterol by processing the image of a human eye. The process includes multiple filtering and masking techniques for detecting the desired portion of the iris followed by pixel by pixel analysis for calculating the amount of grey in the iris.
Keywords- Hypercholesterolemia, Computer Vision, Iris, Masking
Cite this Article
Aditya Arora,  Neha Paggowal,  Diksha Chawla,  Ekagrata Sharma,   "A Non-invasive Framework for Detecting Hypercholesterolemia using Computer Vision"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 4, pp.210-214, November 2018, Available at :http://www.ijedr.org/papers/IJEDR1804040.pdf