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Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 3
The Classification and Recognition of Wax Crystal Structure through Image Analysis
Jinan, China
October 16-October 18
ISBN: 0-7695-2528-8
Kai Shuang, China University of Petroleum, P.R. China
Zhidan Wang, China University of Petroleum, P.R. China
Based on fractal theory, a new method was proposed for extracting wax crystal image features. The wax crystals were separated out from the transported crude when temperature went down. The wax crystals have self-affined and self-similar characters when they are imaged through a polarmicroscope. The crystallizing process is also affected by some environmental factors such as temperature and shearing function when the oil pumped through a pipeline. Fractal attributes of the wax crystal image are computed from the morphologic dilation and used for classification. The wavelet coefficient decomposition and gray-level co-occurrence matrix features were also discussed in this paper.
Index Terms:
feature extraction, fractal coefficient, wax crystal images, co-occurrence matrix, wavelet analysis
Citation:
Kai Shuang, Zhidan Wang, "The Classification and Recognition of Wax Crystal Structure through Image Analysis," isda, vol. 3, pp.76-79, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 3, 2006
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