Feature extraction and fuzzy clustering of wax crystal images for the rheological research of waxy crude oils

Kai Shuang; Lei Wang

doi:10.1117/12.509783

29 April 2003 Feature extraction and fuzzy clustering of wax crystal images for the rheological research of waxy crude oils

Kai Shuang, Lei Wang

Author Affiliations +

Proceedings Volume 5058, Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002; (2003) https://doi.org/10.1117/12.509783
Event: Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002, 2002, Beijing, China

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.

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Kai Shuang and Lei Wang "Feature extraction and fuzzy clustering of wax crystal images for the rheological research of waxy crude oils", Proc. SPIE 5058, Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002, (29 April 2003); https://doi.org/10.1117/12.509783

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