Food log by analyzing food images

In this paper, a food-logging system that can distinguish food images from other images, analyze the food balance, and visualize the log is presented. The image processing is based on feature vectors consisting of color histograms, DCT coefficients, detected image patterns and so forth. Support Vector Machine (SVM) was used to detect food images and to analyze the food balance. Experimental results show that the food image extraction presents above 88% of accuracy and the food balance estimation is achieved with more than 73% of accuracy.