Title :
Detection of phases in sugar crystallization using wavelets
Author :
Tadeo, Fernando ; Matia, David ; Laya, David ; Santos, Francisco ; Alvarez, Teresa ; Gonzalez, S.
Author_Institution :
Dept. de Ingenieria de Sistemas y Autom., Valladolid Univ., Spain
fDate :
6/23/1905 12:00:00 AM
Abstract :
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
Keywords :
discrete wavelet transforms; food processing industry; image processing; neural nets; pattern classification; process monitoring; automatic supervision; discrete wavelet transform; image-processing techniques; microscopic images; neural networks; pattern classification; pattern generation; sugar crystallization; Automatic control; Crystallization; Crystallizers; Image analysis; Lenses; Microscopy; Phase detection; Process control; Production facilities; Sugar;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958080
