Title :
Dish extraction method with neural network for food intake measuring system on medical use
Author :
Takeda, Fumiaki ; Kumada, Kanako ; Takara, Motoko
Author_Institution :
Dev. of Inf. Syst. Eng., Kochi Univ. of Technol., Japan
Abstract :
We have been engaging development of a food intake measuring system. This system measures amounts of food intake for each dish on the tray. Therefore, this system needs to extract dish image from a tray image. In this paper, we propose a dish extraction method by neural network (NN). We expect that the proposed method can extract dish image efficiently and exactly even if dishes are over-wrapped each other. While, food sometimes causes miss-recognition of the correct position of the extracted dish image, we newly add food rejection algorithm to the dish extraction method. Finally, we show the effectiveness and usability of the improved proposed method with computer simulation using real data.
Keywords :
image recognition; medical computing; neural nets; computer simulation; dish extraction method; dish image; food intake measuring system; food rejection algorithm; medical use; neural network; over wrapped dishes; tray image; Biomedical engineering; Biomedical imaging; Computer simulation; Data mining; Displays; Image databases; Information systems; Neural networks; Shape; Systems engineering and theory;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2003. CIMSA '03. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7783-4
DOI :
10.1109/CIMSA.2003.1227202