Title :
The Classification and Recognition of Wax Crystal Structure through Image Analysis
Author :
Shuang, Kai ; Wang, Zhidan
Author_Institution :
Dept. of Electron. & Inf. Eng., China Univ. of Pet. Changping, Beijing
Abstract :
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
Keywords :
crude oil; feature extraction; fractals; image classification; petroleum industry; wavelet transforms; fractal theory; gray-level cooccurrence matrix features; image analysis; morphologic dilation; wavelet analysis; wavelet coefficient decomposition; wax crystal image feature extraction; wax crystal structure classification; wax crystal structure recognition; Crystallization; Environmental factors; Fractals; Image analysis; Image recognition; Petroleum; Pipelines; Shearing; Temperature; Wavelet coefficients; co-occurrence matrix; crystal images; feature extraction; fractal coefficient; wavelet analysis; wax;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.50