Food image processing techniques : a survey

As people across the globe are becoming more interested in watching their weight, eating more healthy and avoiding obesity, a system that can measure calories and nutrition in every day meals can be very useful. To identify food items accurately in such systems, image processing is used. Image processing techniques like image segmentation, feature extraction, object recognition, classification is used for food recognition, nutrients identification and calorie calculation. Bag-of-Features model, Artificial Neural Networks is used to identify the food items. Image classifiers are trained to identify and categorize individual food items in single image. This survey addressed various food image processing techniques, evaluates them and presents the issues related to those techniques.