NDLI: Investigating local orientation methods to segment microstructure with 3D solid texture

Content Provider	IET Digital Library
Author	Darwich, Ranya Al Babout, Laurent
Abstract	This study investigates local orientation-based approaches to the complex problem of pattern segmentation in three-dimensional (3D) texture image. The current problem focuses on the extraction of so-called lamellar colonies in titanium alloy, which, from the materials science and engineering point of view, are microstructural features that play a fundamental role on crack propagation and bifurcation during mechanical loading. Methods based on local orientation estimation extend the notion of using local gradient to reveal variation of semi-planar pattern orientation in the 3D image. The study introduces a computational approach that accelerates the calculation of the eigenvectors from the local matrices of inertia of all voxels composing the 3D image. Then different paths are proposed to segment colonies or inter-colony boundaries, i.e. polar orientation map and minimum scalar product map, in order to delimitate regions of similar orientations. The investigated segmentation methods have been compared with other methods that are mainly based on the popular solution of filter banks. Tests, which have been performed on both synthetic and real 3D images, show that the proposed local orientation-based methods better delineate object boundaries than the counterparts.
Starting Page	1265
Ending Page	1272
Page Count	8
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 7, Jul (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0842
Journal	IET Image Processing
Publisher Date	2018-03-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Solid Texture Bifurcation Computer Graphics Computer Vision And Image Processing Technique Crack Propagation Crystal Microstructure Eigen Values And Eigen Function Eigenvectors Gradient Method Graphics Technique Image Segmentation Image Texture Inter-colony Boundaries Interpolation And Function Approximation Lamellar Colonies Extraction Linear Algebra Local Gradient Local Orientation Estimation Local Orientation Method Material Science Material Science Computing Matrix Matrix Algebra Mechanical Loading Microstructure Segmentation Numerical Analysis Numerical Approximation And Analysis Optical, Image And Video Signal Processing Pattern Segmentation Phase Diagrams And MicroStructure Developed by Solidification And Solid-solid Phase Transformations Physics And Chemistry Computing Semiplanar Pattern Orientation Three-dimensional Texture Image Titanium Alloy
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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