30 April 2015 Automatic grading of carbon blacks from transmission electron microscopy
Author Affiliations +
Proceedings Volume 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015; 95340G (2015) https://doi.org/10.1117/12.2182866
Event: The International Conference on Quality Control by Artificial Vision 2015, 2015, Le Creusot, France
Abstract
Carbon blacks are widely used as filler in industrial products to modify their mechanical, electrical and optical properties. For rubber products, they are the subject of a standard classification system relative to their surface area, particle size and structure. The electron microscope remains the most accurate means of measuring these characteristics on condition that boundaries of aggregates and particles are correctly detected. In this paper, we propose an image processing chain allowing subsequent characterization for automatic grading of the carbon black aggregates. Based on literature review, 31 features are extracted from TEM images to obtain reliable information on the particle size, the shape and microstructure of the carbon black aggregates. Then, they are used for training several classifiers to compare their results for automatic grading. To obtain better results, we suggest to use a cluster identification of aggregates in place of the individual characterization of aggregates.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. Luengo, L. Luengo, S. Treuillet, S. Treuillet, E. Gomez, E. Gomez, } "Automatic grading of carbon blacks from transmission electron microscopy ", Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 95340G (30 April 2015); doi: 10.1117/12.2182866; https://doi.org/10.1117/12.2182866
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

Image preprocessing study on KPCA-based face recognition
Proceedings of SPIE (December 13 2015)
Adaptive shape transform for color image querying
Proceedings of SPIE (May 27 2003)
Intelligent image database indexing and query system
Proceedings of SPIE (October 17 1999)
ImageSeeker: a content-based image retrieval system
Proceedings of SPIE (January 18 2009)

Back to Top