2012
DOI: 10.1007/978-3-642-33564-8_13
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A New Method to Segment X-Ray Microtomography Images of Lamellar Titanium Alloy Based on Directional Filter Banks and Gray Level Gradient

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Cited by 3 publications
(5 citation statements)
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“…Tests have shown that the best results are obtained for the kernel parameters r = 5 and θ = 22.5°. Note that the thick black lines delineate two colonies that were associated with the same object when using the method based on the contourlet filter bank [10,15], showing the benefit of the 3D method over its 2D counterpart. As far as the thick red line is concerned, it marks the β-gb that cannot be segmented with such method.…”
Section: Classification Of α-Lamellaementioning
confidence: 98%
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“…Tests have shown that the best results are obtained for the kernel parameters r = 5 and θ = 22.5°. Note that the thick black lines delineate two colonies that were associated with the same object when using the method based on the contourlet filter bank [10,15], showing the benefit of the 3D method over its 2D counterpart. As far as the thick red line is concerned, it marks the β-gb that cannot be segmented with such method.…”
Section: Classification Of α-Lamellaementioning
confidence: 98%
“…inter-lamellar or trans-lamellar). In principle, this can be correlated, to some extent to crystallographic slip orientation, since it is known that the α plate growth in the β phase strictly obeys the Burgers relationship (100) β || (0002) α and [1][2][3][4][5][6][7][8][9][10][11] β || [11][12][13][14][15][16][17][18][19][20] α [4]. Moreover, the flat surface of the α plates is parallel to the (1-100) plane of the α phase and parallel to the (−112) plane of the β phase.…”
Section: Introductionmentioning
confidence: 99%
“…Also, it is almost impossible to get a 3D ground truth. Tests have been [38] performed to try to reconstruct the 3D boundaries by creating a grid of boundaries along the three main orthogonal directions, which are further on closed. However, this has introduced an extra level of boundary approximation, which plays against a good comparison with segmented boundaries.…”
Section: Comparison Methodsmentioning
confidence: 99%
“… Segmentation results superimposed on original volumetric image (a) Three‐dimensional rendering, (b) Detailed view of a cross‐section already presented in a previous publication [38]…”
Section: Algorithmmentioning
confidence: 99%
“…Previous approaches have concentrated on two types of methods: wavelet decomposition [12] and co-occurrence matrix [6]. In addition, the [8] proposed a method based on the gradient of brightnes. The method was an attempt to modify the algorithm proposed in [7], the orientation of directional alpha-colony was determined by the gradient brightness, image segmentation relied on the use of clustering and classification methods of information direction.…”
Section: Introductionmentioning
confidence: 99%