Open AccessEstimation of Percentage of Adulteration using Structural Similarity Index
Author(s) -
Bharath Surianarayanan,
Sridhar Pandian A,
Sheshadri Narayanan,
Jani Anbarasi L,
Benson Edwin Raj
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7326.129219
Subject(s) - contamination , similarity (geometry) , structural similarity , measure (data warehouse) , index (typography) , estimation , statistics , sample (material) , mathematics , computer science , image (mathematics) , artificial intelligence , data mining , chemistry , engineering , biology , chromatography , ecology , systems engineering , world wide web
Adulteration in food supplies to reduce the cost and thereby compromising in its quality is an ever-growing problem in the food industry. In the past, adulteration estimation was done using chemicals and infrared spectroscopy methods. In this paper, adulteration estimation of chili powder contaminated with brick powder is done by means of Structural Similarity (SSIM) Index and the performance for various levels of contamination is evaluated. SSIM provides a measure of structural similarity between two images i.e. test image and reference image. This work has been carried out to identify contamination in a given sample of chili powder and estimate the approximate level of contamination. Experimental results show that SSIM measure provides an accurate estimate of the degree of contamination.