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Proceedings Paper

Feature extraction and fuzzy clustering of wax crystal images for the rheological research of waxy crude oils
Author(s): Kai Shuang; Lei Wang
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Paper Abstract

Wax-crystal morph is one of the prime inner factors that influence the rheological property of waxy crude at low temperature. The normal way to identify wax-crystals is comparing qualitatively the wax-crystals obtained from video-microscopy. The paper studies a quantitative characterization and classification of wax crystals of waxy crude oils. In this paper, a blocked 2D etropy threshold method was used to segment wax crystal images, and the grain size, shape characters of wax crystals and the continuous liquid phase characters are extracted through a statistic method. Finally, the fuzzy clustering method was employed to classify the wax crystal images.

Paper Details

Date Published: 29 April 2003
PDF: 8 pages
Proc. SPIE 5058, Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002, (29 April 2003); doi: 10.1117/12.509783
Show Author Affiliations
Kai Shuang, Univ. of Petroleum (China)
Lei Wang, Univ. of Petroleum (China)


Published in SPIE Proceedings Vol. 5058:
Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002
Gong Xin Shen; Soyoung S. Cha; Fu-Pen Chiang; Carolyn R. Mercer, Editor(s)

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