texture toolbox 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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MathWorks Inc 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.
Texture Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc changgung image texture 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.
Changgung Image Texture Analysis Toolbox, 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 multivariate wavelet texture analysis
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.
Multivariate Wavelet Texture Analysis, 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 multi input single output miso anfis model
Fig. 6 <t>ANFIS</t> plots for a training data, b testing data, c checking data, and d overall data
Multi Input Single Output Miso Anfis Model, 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 glcm texture feature aspects matlab r2020b
Fig. 6 <t>ANFIS</t> plots for a training data, b testing data, c checking data, and d overall data
Glcm Texture Feature Aspects Matlab R2020b, 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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MathWorks Inc chang–gung image texture analysis toolbox
Fig. 6 <t>ANFIS</t> plots for a training data, b testing data, c checking data, and d overall data
Chang–Gung Image Texture 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
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MathWorks Inc mtex matlab toolbox
Fig. 6 <t>ANFIS</t> plots for a training data, b testing data, c checking data, and d overall data
Mtex Matlab 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
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MathWorks Inc mtex-4.2.1 (matlab texture toolbox)
Fig. 6 <t>ANFIS</t> plots for a training data, b testing data, c checking data, and d overall data
Mtex 4.2.1 (Matlab 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
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MathWorks Inc custombuilt texture analysis toolbox
Fig. 6 <t>ANFIS</t> plots for a training data, b testing data, c checking data, and d overall data
Custombuilt Texture 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
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MathWorks Inc mtex texture analysis matlab toolbox
Fig. 6 <t>ANFIS</t> plots for a training data, b testing data, c checking data, and d overall data
Mtex Texture Analysis Matlab 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
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MathWorks Inc texture properties matlab image processing toolbox
Fig. 6 <t>ANFIS</t> plots for a training data, b testing data, c checking data, and d overall data
Texture Properties Matlab Image Processing 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
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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

Fig. 6 ANFIS plots for a training data, b testing data, c checking data, and d overall data

Journal: Applied Water Science

Article Title: A comparative optimization and modeling of ammonia–nitrogen adsorption from abattoir wastewater using a novel iron-functionalized crab shell

doi: 10.1007/s13201-022-01713-4

Figure Lengend Snippet: Fig. 6 ANFIS plots for a training data, b testing data, c checking data, and d overall data

Article Snippet: The network consists of a multi-input single-output (MISO) ANFIS model which was developed using the fuzzy logic toolbox of MATLAB R 2015 b (Mathworks Inc.).

Techniques:

Fig. 8 Genetic algorithm optimization for a RSM-GA b ANFIS-GA and c ANN-GA

Journal: Applied Water Science

Article Title: A comparative optimization and modeling of ammonia–nitrogen adsorption from abattoir wastewater using a novel iron-functionalized crab shell

doi: 10.1007/s13201-022-01713-4

Figure Lengend Snippet: Fig. 8 Genetic algorithm optimization for a RSM-GA b ANFIS-GA and c ANN-GA

Article Snippet: The network consists of a multi-input single-output (MISO) ANFIS model which was developed using the fuzzy logic toolbox of MATLAB R 2015 b (Mathworks Inc.).

Techniques: