Cooking Oil Quality Analysis Using Digital Image Processing

Abstract

The quality of the cooking oil we consume is of more importance, as people are becoming educated their demand for quality of cooking oil is increasing. There is possibility of adulteration of cooking oil by the traders. Generally the quality assessment is carried by visual inspection which is manual process. Cooking oil is one of the liquid which plays important role in food. It is important on human health; it is cumbersome and time sensitive to find out the quality content in cooking oil using chemical test method. There are some methods reported in literature to find quality level in cooking oil using images of oil. Developing easy and effective automatic quality analysis in an image based on oil color would be helpful for society hence seems to be good research work. In this paper, we are going to address this problem and explore methods to identify quality analysis in cooking oil using image processing techniques. Here we are considering images of sun pure, Sun flower and groundnut to identify percentage of quality level in it. Applications include prevention of diseases of human in advance, quality analysis for health etc.