toolbox for analysing crystallographic textures Search Results


96
MathWorks Inc mtex toolbox in matlab
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Mtex Toolbox In Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Mtex Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mtex toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
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MathWorks Inc fast fourier transform (fft) approach
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Fast Fourier Transform (Fft) Approach, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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SourceForge net computational crystallography toolbox
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Computational Crystallography Toolbox, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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MathWorks Inc mtex crystallographic toolbox
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Mtex Crystallographic Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mtex crystallographic toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mtex crystallographic toolbox - by Bioz Stars, 2026-03
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MathWorks Inc mtex orientation analysis matlab package
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Mtex Orientation Analysis Matlab Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mtex orientation analysis matlab package/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mtex orientation analysis matlab package - by Bioz Stars, 2026-03
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MathWorks Inc mtex texture and crystallography analysis toolbox
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Mtex Texture And Crystallography Analysis Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mtex texture and crystallography analysis toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mtex texture and crystallography analysis toolbox - by Bioz Stars, 2026-03
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96
MathWorks Inc crystallographic toolbox tex v5 6
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Crystallographic Toolbox Tex V5 6, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc mtex texture and crystallographic analysis toolbox
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Mtex Texture And Crystallographic Analysis Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mtex texture and crystallographic analysis toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mtex texture and crystallographic analysis toolbox - by Bioz Stars, 2026-03
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MathWorks Inc mtex crystallographic texture toolbox
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Mtex Crystallographic Texture Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mtex crystallographic texture toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mtex crystallographic texture toolbox - by Bioz Stars, 2026-03
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MathWorks Inc easyspin for matlab
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Easyspin For Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/easyspin for matlab/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
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MathWorks Inc matlab package easyspin
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Matlab Package Easyspin, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab package easyspin/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab package easyspin - by Bioz Stars, 2026-03
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Image Search Results


Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function in MATLAB detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.

Journal: Journal of Materials Research and Technology

Article Title: Modeling local deformation, damage distribution, and phase transformation in zirconia particle-reinforced TRIP steel composites

doi: 10.1016/j.jmrt.2024.08.015

Figure Lengend Snippet: Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function in MATLAB detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.

Article Snippet: Additionally, the effect of crystallographic texture is analyzed using the MTEX toolbox in MATLAB [38] for data post-processing.

Techniques: Comparison, In Situ