| Paper title: |
Effect of Illumination and Distance on Identification and Classification of Food Objects Images |
| Published in: | Issue 3, (Vol. 4) / 2010 |
| Publishing date: | 2010-10-26 |
| Pages: | 14-20 |
| Author(s): | ANAMI Basavaraj S., BURKPALLI Vishwanath C. |
| Abstract. | Abstract-In this paper we have studied the effect of varying illumination conditions and varying distance of image acquisition on identification and classification of images of food objects like Bonda, Idli, Puri, Somasa and Wada. A back propagation neural network (BPNN) is developed using 18 color and 24 texture features. The image samples are collected under different lighting conditions like natural lighting, florescent lamp, incandescent bulb and varying acquisition distances like 20, 40, 60, 80, 100 centimeter. The maximum classification accuracy found with the images taken under natural lighting conditions. The work finds application in autometic food serving by robots in hotels, restaurents, shapping malls, pharmacentical industry, food industry, etc,. |
| Keywords: | Food Object, Color Features, Textural Features, Back Propagation Neural Network, Illumination |
| References: | 1. Haralick, R.M., Shanmugam, K., and Dinstein I, Texture features for image classification, IEEE Transactions on System, Man, and cybernetics, 1973, pp 610-621. 2. Shashi D. Buluswar and Bruce A. Draper, Non-Parametric Classification of Pixels under Varying Outdoor Illumination, Proceedings of Image Understanding Workshop,1994, pp 1619-1629. Acknowledge 3. Braje W. L, Kersten D, Tarr M. J and Troje N. F, Illumination Effects in Face Recognition, Journal of Psychobiology, 1998, Volume 26, pp 371-380. 4. Saleh Aly, Naoyuki Tsuruta and Rin-Ichiro Taniguchi, Face Recognition under Varying Illumination Using Mahalanobis Self-Organizing Map, Proceedings of the 13th International Symposium on Artificial Life and Robotics, 2008, pp.298– 301. 5. Margarita Osadchy and Daniel Keren , Efficient detection under varying illumination conditions and image plane rotations, International Journal on Computer Vision and Image Understanding, 2004, Volume 93, Issue 3, pp 245-29. 6. Peter N. Belhumeur and David J. Kriegman, What Is the Set of Images of an Object under All Possible Illumination Conditions?, International Journal of Computer Vision, 1998, Volume 28, Issue 3, pp 1–16. |
| Back to the journal content | |
