Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method

Min-nan Feng; Yu-cong Wang; Hao Wang; Guo-quan Liu; Wei-hua Xue

doi:10.1007/s12613-017-1403-8

Volume 24 Issue 3

Mar. 2017

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文章导航 > 矿物冶金与材料学报（英文） > 2017 > 24(3): 257-263

Min-nan Feng, Yu-cong Wang, Hao Wang, Guo-quan Liu, and Wei-hua Xue, Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method, Int. J. Miner. Metall. Mater., 24(2017), No. 3, pp. 257-263. https://doi.org/10.1007/s12613-017-1403-8

Cite this article as:

Min-nan Feng, Yu-cong Wang, Hao Wang, Guo-quan Liu, and Wei-hua Xue, Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method, Int. J. Miner. Metall. Mater., 24(2017), No. 3, pp. 257-263. https://doi.org/10.1007/s12613-017-1403-8

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研究论文

Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method

School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China
School of Materials Science and Engineering, Liaoning Technical University, Fuxin 123099, China

通讯作者:
Hao Wang E-mail: hwang@ustb.edu.cn

中文摘要

Using a total of 297 segmented sections, we reconstructed the three-dimensional (3D) structure of pure iron and obtained the largest dataset of 16254 3D complete grains reported to date. The mean values of equivalent sphere radius and face number of pure iron were observed to be consistent with those of Monte Carlo simulated grains, phase-field simulated grains, Ti-alloy grains, and Ni-based super alloy grains. In this work, by finding a balance between automatic methods and manual refinement, we developed an interactive segmentation method to segment serial sections accurately in the reconstruction of the 3D microstructure; this approach can save time as well as substantially eliminate errors. The segmentation process comprises four operations:image preprocessing, breakpoint detection based on mathematical morphology analysis, optimized automatic connection of the breakpoints, and manual refinement by artificial evaluation.

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Research Article

Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method

+ Author Affiliations

Abstract

Abstract

Using a total of 297 segmented sections, we reconstructed the three-dimensional (3D) structure of pure iron and obtained the largest dataset of 16254 3D complete grains reported to date. The mean values of equivalent sphere radius and face number of pure iron were observed to be consistent with those of Monte Carlo simulated grains, phase-field simulated grains, Ti-alloy grains, and Ni-based super alloy grains. In this work, by finding a balance between automatic methods and manual refinement, we developed an interactive segmentation method to segment serial sections accurately in the reconstruction of the 3D microstructure; this approach can save time as well as substantially eliminate errors. The segmentation process comprises four operations:image preprocessing, breakpoint detection based on mathematical morphology analysis, optimized automatic connection of the breakpoints, and manual refinement by artificial evaluation.
- polycrystalline iron;
- three-dimensional structure;
- grain boundaries;
- image processing;
- digitizers

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[1]	G. Liu, Applied stereology in materials science and engineering, J. Microsc., 171(1993), No. 1, p. 58.
[2]	B.R. Patterson, D.J. Rowenhorst, V. Tikare, R.T. DeHoff, and T.M. Kaub, Affinities for topological arrangements in grain structures, Acta Mater., 79(2014), p. 413.
[3]	H. Wang, G.Q. Liu, A. Ullah, and J.H. Luan, Topological correlations of three-dimensional grains, Appl. Phys. Lett., 101(2012), No. 4, p. 3.
[4]	F.N. Rhines, K.R. Craig, and D.A. Rousse, Measurement of average grain volume and certain topological parameters by serial section analysis, Metall. Trans. A, 7(1976), No. 11, p. 1729.
[5]	M. Comer, C.A. Bouman, M.D. Graef, and J.P. Simmons, Bayesian methods for image segmentation, JOM, 63(2011), No. 7, p. 55.
[6]	L. Huffman, J. Simmons, M.D. Graef, and I. Pollak, Shape priors for MAP segmentation of alloy micrographs using graph cuts,[in] Proc. IEEE Stat. Signal Process, Workshop, 2011, p. 662.
[7]	Q. Li, X. Ni, and G. Liu, Ceramic image processing using the second curvelet transform and watershed algorithm,[in] Proceedings of the Robotics and Biomimetics, Robio, 2007, p. 2040.
[8]	A. Ullah, G.Q. Liu, J.H. Luan, W.W. Li, M.U. Rahman, and M. Ali, Three-dimensional visualization and quantitative characterization of grains in polycrystalline iron, Mater. Charact., 91(2014), p. 66.
[9]	S. Mukhopadhyay and B. Chanda, Multiscale morphological segmentation of gray-scale images, IEEE Trans. Image Process., 12(2003), No. 5, p. 534.
[10]	J. Waggoner, Y.J. Zhou, J. Simmons, M.D. Graef, and S. Wang, Graph-cut based interactive segmentation of 3D materials-science images, Mach. Vis. Appl., 25(2014), No. 6, p. 1617.
[11]	P.R. Cantwell, M. Tang, S.J. Dillon, J. Luo, G.S. Rohrer, and M.P. Harmer, Grain boundary complexions, Acta Mater., 62(2014), p. 2.
[12]	J. Canny, A computational approach to edge detection, IEEE Trans. Pattern Anal. Mach. Intell., 8(1986), No. 6, p. 680.
[13]	M. Sharifi, M. Fathy, and M.T. Mahmoudi, A classified and comparative study of edge detection algorithms,[in] Proceedings of the Information Technology:Coding and Computing, 2002, p. 118.
[14]	L.Q. Shen, D.G. Shen, and F.H. Qi, Edge detection on real time using LOG filter,[in] Proceedings of the Speech, Image Processing and Neural Networks, 1994, p. 38.
[15]	S. Kim, Min-local-LoG filter for detecting small targets in cluttered background, Electron. Lett., 47(2011), No. 2, p. 105.
[16]	R.M. Haralick, S.R. Sternberg, and X.H. Zhuang, Image analysis using mathematical morphology, IEEE Trans. Pattern Anal. Mach. Intell., 9(1987), No. 4, p. 533.
[17]	P. Murray and S. Marshall, Chapter Five-A review of recent advances in the hit-or-miss transform, Adv. Imaging Electron Phys., 175(2013), p. 221.
[18]	J. Waggoner, Y.J. Zhou, J. Simmons, M.D. Graef, and S. Wang, Topology-preserving multi-label image segmentation,[in] Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015, p. 1066.
[19]	C. Zhang, M. Enomoto, A. Suzuki, and T. Ishimaru, Characterization of three-dimensional grain structure in polycrystalline iron by serial sectioning, Metall. Mater. Trans. A, 35(2004), No. 7, p. 1927.
[20]	M.N. Kelly, K. Glowinski, N.T. Nuhfer, and G.S. Rohrer, The five parameter grain boundary character distribution of α-Ti determined from three-dimensional orientation data, Acta Mater., 111(2016), p. 23.
[21]	D.J. Rowenhorst, A.C. Lewis, and G. Spanos, Three-dimensional analysis of grain topology and interface curvature in a β-titanium alloy, Acta Mater., 58(2010), No. 16, p. 5513.
[22]	M. Groeber, S. Ghosh, M.D. Uchic, and D.M. Dimiduk, A framework for automated analysis and simulation of 3D polycrystalline microstructures:Part 1. Statistical characterization, Acta Mater., 56(2008), No. 6, p. 1263.
[23]	K. Chang, C.E. Krill Ⅲ, Q. Du, and L.Q. Chen, Evaluating microstructural parameters of three-dimensional grains generated by phase-field simulation or other voxel-based techniques, Modell. Simul. Mater. Sci. Eng., 20(2012), No. 7, p. 4.

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Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method

中文摘要

Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method

Abstract

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