Abstract
Physical properties of a material depend on its microstructure characteristics. Carbon in the form of graphite is often used as an additive in the production of cast iron [3]. The microstructure of graphite within cast iron has major effects on the casting’s mechanical properties. When graphite arranges itself as thin fl akes, the result is gray iron, which is hard and brittle. When graphite takes the form of spherical nodules the result is nodular iron, which is soft and malleable.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
A.K. Jain, “Fundamentals of Digital Image Processing”. Prentice-Hall, Englewood Cliffs, NJ, 1989
Chen Zhibin, Yu Yongquan, Chen eqing, Yang Shaomin, “Fuzzy Recognition of Graphite Morphology in Nodular Cast Iron Based on Evolution Strategy”, Proc. of the Fourth Intl. Conference on Machine Learning and Cybernetics, Guangzhou, Aug. 2005, pp 18-21
Handbook Committee, Handbook of ASM International, Vol 9, Metallography and Microstructures. ISBN:0-87170706-3
H. E. Henderson’s article titled “Ultrasonic Velocity Technique for Quality Assurance”, appearing in the Foundry Trade Journal,Feb. 21, 1974, at pages 203-208
Longin Jan Latecki and Rolf Lak¨amper and Ulrich Eckhardt, “Shape Descriptors for Nonrigid Shapes with a Single Closed Contour”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2000, pp 424-429
L.Wojnar, Image Analysis, Applications in Materials Engineering, CRC Press, 1999
Milan Sonka, Vaclav Hlavac, Rogen Boyle, “Image processing analysis and machine vision” 2e, Thomson Publishing Company, 2007
Otsu N., “A Threshold Selection Method from Gray-level Histograms”, IEEE Trans, on Systems, Man and Cybernetics, Vol. 9 No. 1 1979, pp. 62-66
Pattan Prakash, V.D. Mytri and P.S. Hiremath, “Classification of Graphite Grains with Simple Shape Descriptors”, Intl. Jl. on Engg. and Tech. (IJENGG), Vol. 4, No. 2, pp.37-42, 2009
Pattan Prakash, V.D. Mytri, P.S.Hiremath,, “Automatic Microstructure Image Analysis for Classification and Quantification of Phases of Material”, Proc. of International Conference on Systemics, Cybernetics and Informatics (ICSCI- 2009) Jan 17-10,2009, pp 308–311
Pattan Prakash, V.D. Mytri, P.S. Hiremath, “Classification of Cast Iron Based on Graphite Grain Morphology using Neural Network Approach”, Proc. of Intl. Conf. on Digital Image Processing, (ICDIP 2010), Feb 26-28, 2010 (communicated)
Practical Guide to Image Analysis, ASM International, 2000
University of Cambridge,Contributed Microstructures library: http://www.doitpoms. ac.uk and http://www.metallograf.de/ starteng. Html
Wanda Benesova, Alfred Rinnhofer, Gerhard Jacob, “Determining The Average Grain Size of Super-Alloy Micrographs”, ICIP-2006, Joanneum Research Institute of Digital Image Processing, Graz, Austria, 2006, pp 2749-2752
Xaviour Arnould, Michel Coster, Jean-Louis Chermant, Liliane Chermant, Thierry Chartier and Abder Elmoataz, “Segmentation and Grain Size of Cera mics”, Image Anal Stereol, France 2001, pp.131-135
F. Mokhtarian, S. Abbasi, and J. Kittler. Efficient and robust retrieval by shape content through curvature scale space. In A. W. M. Smeulders and R. Jain, editors, Image Databases and Multi-Media Search, pages 51–58. World Scientific Publishing, Singapore, 1997
F. Mokhtarian and A. K. Mackworth. A theory of multiscale, curvature-based shape representation for planar curves. IEEE Trans. 4:789–805, 1992
G. Chuang and C.-C. Kuo. Wavelet descriptor of planar curves: Theory and applications. IEEE Trans. on Image Processing, 5:56–70, 1996
Khotanzan and Y. H. Hong. Invariant image recognition by Zernike moments. IEEE Trans. PAMI, 12:489–497, 1990
Przemyslaw Lagodzinski and Bogdan Smolka On the Application of Distance Transformation in Digital Image Colorization, Computer Recognition Systems 2, ASC 45, pp. 108–116, 2007
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer India Pvt. Ltd
About this paper
Cite this paper
Prakash, P., Mytri, V.D., Hiremath, P.S. (2011). An improved algorithm for classification of graphite grains in cast iron microstructure images using geometric shape features. In: Pise, S.J. (eds) Thinkquest~2010. Springer, New Delhi. https://doi.org/10.1007/978-81-8489-989-4_39
Download citation
DOI: https://doi.org/10.1007/978-81-8489-989-4_39
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-8489-988-7
Online ISBN: 978-81-8489-989-4
eBook Packages: Computer ScienceComputer Science (R0)