TY  - JOUR
T1  - A Novel Method in Detection of Food Adulteration in Selected Food Items using
Digital Image Processing Technology with Digital Camera
AU - Justin Diraviam, A. AU - Angel, G. AU - Rajappan, K. 
JO  - Asian Journal of Information Technology
VL  - 16
IS  - 6
SP  - 374
EP  - 382
PY  - 2017
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2017.374.382
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2017.374.382
KW  - DIP
KW  -adulteration
KW  -adulterant
KW  -MATLAB
KW  -processing
KW  -substances
AB  - 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.
ER  -