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.