Authors : A. Justin Diraviam, G. Angel and K. Rajappan
Abstract: Adulteration of food is either adding any substance or subtracting any substance so that the natural quality of food substance is exaggerated. Adulteration of food frauds the consumer and can cause severe danger to health in some cases. In the present scenario, the food substances are subjected to adulteration in order to increase its volume or weight on scale. The aim of this artifact is to create awareness in the consumers and make them to observe some of the common adulterant added in the selected food items. The selected food items are oil, chilli powder, black pepper and milk. However, in food adulteration the quantity of adulterant mixed could not be found out. The advent of the new technology of Digital Image Processing (DIP), releases a new path for analyzing the quantity of adulteration in food items. The images are acquired through digital camera for various adulteration levels. Through normal and present methods small quantities of food adulteration cannot be identified. Texture features are extracted from the adulterated food image. Based on the texture feature values it is determined whether food is adulterated or not and also the quantity of adulterant mixed in the selected food items can be calculated. This is not possible with the present methods. In present methods in order to find the food adulteration, some of the food samples are wasted for testing. This is avoided by means of our proposed method. MATLAB is widely used for the simulation of adulterated food images.
A. Justin Diraviam, G. Angel and K. Rajappan, 2017. A Novel Method in Detection of Food Adulteration in Selected Food Items using Digital Image Processing Technology with Digital Camera. Asian Journal of Information Technology, 16: 374-382.