Food Logging and Processing-Analysis of Food Images-
Keigo Kitamura, Toshihiko Yamasaki, Kiyoharu Aizawa · The Journal of The Institute of Image Information and Television Engineers · 2009
We present a food-logging system that distinguishes food images from other ones, analyzes the balance of food, and visualizes the processed log on the basis of image analysis. The image processing is based on features of color histograms, image frequencies in the DCT domain, detected image patterns and so forth in conjunction with learning algorithms of Support Vector Machine (SVM) and of Random Forest. Experimental results show that the images are extracted with a level of accuracy of over 85% and the food balance is estimated with a level of over 70%.