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The Classification and Recognition of Wax Crystal Structure through Image Analysis

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2 Author(s)
Kai Shuang ; China University of Petroleum, P.R. China ; Zhidan Wang

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 polar-microscope. 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

Published in:

Sixth International Conference on Intelligent Systems Design and Applications  (Volume:3 )

Date of Conference:

16-18 Oct. 2006