论文信息 - Detection of phases in sugar crystallization using wavelets

Detection of phases in sugar crystallization using wavelets

This paper presents an approach to the automatic supervision of the sugar crystallization process based on image-processing techniques. The detection of the different phases of the process is carried out by generating patterns from a wavelet decomposition of the microscopic images taken from the process.

[1] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .

[2] C. Burrus,et al. Introduction to Wavelets and Wavelet Transforms: A Primer , 1997 .

[3] Lawrence H. Staib,et al. The image processing handbook, 2nd edition J. C. Russ , 1998, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

[4] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .

[5] Charles K. Chui,et al. An Introduction to Wavelets , 1992 .

[6] John C. Russ,et al. The image processing handbook (3. ed.) , 1995 .

[7] Howard B. Demuth,et al. Neutral network toolbox for use with Matlab , 1995 .

[8] P. Honig,et al. Principles of sugar technology , 1953 .

[9] Arun D. Kulkarni. Artificial neural networks for image understanding , 1994, VNR computer library.

[10] R. A. McGinnis,et al. Beet - sugar technology , 1951 .