scholarly journals Texture Analysis From Incomplete Pole Figures in Low Symmetry Cases

1987 ◽  
Vol 7 (2) ◽  
pp. 115-129 ◽  
Author(s):  
F. Wagner ◽  
M. Humbert
Keyword(s):  
Computer Program ◽  
Texture Analysis ◽  
Crystal Symmetry ◽  
Harmonic Method ◽  
Pole Figures ◽  
Low Symmetry

From a classification of crystal symmetries involved in texture analysis we define a set of (low) crystal symmetries that can be similarly managed in the same computer program, using the harmonic method. A way of calculating the texture from incomplete pole figures is then proposed. Results are reported for two examples with hexagonal and trigonal crystal symmetry, respectively, and advantages and limitations of such texture analyses are discussed.

scholarly journals On the Use of Polycrystal and Individual Orientation Texture Analysis Methods for BCC Materials

1996 ◽  
Vol 25 (2-4) ◽  
pp. 109-120 ◽  
Author(s):  
I. V. Gervasyeva ◽  
B. K. Sokolov ◽  
A. K. Sbitnev
Keyword(s):  
Texture Analysis ◽  
Secondary Recrystallization ◽  
Recrystallization Process ◽  
Etch Pits ◽  
Discrete Method ◽  
Cubic Symmetry ◽  
X Ray ◽  
Harmonic Method ◽  
Pole Figures ◽  
Orientation Density

The reliability of the harmonic method of the ODF calculation from X-ray pole figures was estimated for cubic symmetry materials. For this purpose simulated textures with a preset scattering value of the components were used. Some examples using the Roe method to the study of the secondary recrystallization process in the Fe-3% Si alloy are given. The capabilities of the etch-pits methods as the simplest discrete method used to determine the orientation density are discussed.

scholarly journals An Improvement of Vector Method by Allocation of Intensities Based on the Crystallographic Symmetry

1989 ◽  
Vol 10 (2) ◽  
pp. 101-116 ◽  
Author(s):  
R. Shimizu ◽  
K. Ohta ◽  
J. Harase
Keyword(s):  
Texture Analysis ◽  
Crystal Symmetry ◽  
Residual Vector ◽  
Reflection And Transmission ◽  
Vector Method ◽  
X Ray ◽  
Textural Component ◽  
Pole Figures ◽  
Crystallographic Symmetry

An investigation has been carried out utilizing model and experimental pole figures made by X-ray technique in order to examine the use of the vector method as a means of the texture analysis. The main findings are as follows:• From crystal symmetry considerations positions and magnitudes of peaks along the ζ angle can be predicted. There are discrepancies in these intensity peaks and in some cases the peaks are missing altogether.• This problem was solved by the allocation of intensities such that equal intensities are obtained at the crystallographic symmetry positions.• Even a slightly mismatched combination of the reflection and transmission pole figures caused an increase in residual vector (R) resulting in the failure of the analysis for the minor textural component.

scholarly journals 3D texture analysis for classification of second harmonic generation images of human ovarian cancer

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Bruce Wen ◽  
Kirby R. Campbell ◽  
Karissa Tilbury ◽  
Oleg Nadiarnykh ◽  
Molly A. Brewer ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Second Harmonic Generation ◽  
Texture Analysis ◽  
Harmonic Generation ◽  
Second Harmonic ◽  
Human Ovarian Cancer ◽  
3D Texture ◽  
3D Texture Analysis

scholarly journals Mechanical Fault Classification of an Induction Motor using Texture Analysis

2013 ◽  
Vol 18 (12) ◽  
pp. 11-19 ◽  
Author(s):  
Won-Chul Jang ◽  
Yong-Hoon Park ◽  
Myeong-Su Kang ◽  
Jong-Myon Kim
Keyword(s):  
Induction Motor ◽  
Texture Analysis ◽  
Fault Classification

scholarly journals Texture Analysis of a Zinc Layer on a Steel Substrate Using Neutron Diffraction

1993 ◽  
Vol 21 (2-3) ◽  
pp. 71-78
Author(s):  
H.-G. Brokmeier
Keyword(s):  
Distribution Function ◽  
Neutron Diffraction ◽  
Texture Analysis ◽  
Orientation Distribution Function ◽  
Steel Substrate ◽  
Orientation Distribution ◽  
Pole Figures ◽  
Iron And Zinc

This paper describes the application of neutron diffraction to investigate the texture of a zinc layer 8 μm in thickness. In a nondestructive way both the texture of the zinc layer as well as the texture of the steel substrate were studied. Therefore, pole figures of iron ((110), (200) and (211)) and of zinc ((0002), (101¯0), (101¯1); and (101¯3)/(112¯0)) were measured; additionally the orientation distribution function of iron and zinc were calculated.

Tumor Classification Based on Regional Heterogeneity Using Pixel Level Feature Descriptors

2021 ◽  
Vol 11 (5) ◽  
pp. 1481-1488
Author(s):  
C. Gunasundari ◽  
K. Selva Bhuvaneswari
Keyword(s):  
Texture Analysis ◽  
Early Stage ◽  
Pituitary Tumors ◽  
Brain Regions ◽  
Regional Heterogeneity ◽  
Gradient Based ◽  
Classification Of Tumors ◽  
Effective Diagnosis ◽  
The Brain

Brain tumor is considered to be widely analyzed disease for effective diagnosis and treatment planning. Several approaches were framed to detect and diagnose tumor at early stage. In this work, texture analysis is carried out to analyze the nature of tumor and categorize it. Around 3064 images were analyzed during this study consisting of meningioma, glioma and pituitary tumors. Intensity and gradient pixel based texture analysis is carried out in this analysis. Results confirm that the tumors can be classified and categorized based on the intensity and gradient pixel information. A total of 2216 feature vector is extracted it is observed that the gradient based information aids for better classification of tumors. Localized binary patterns are found to provide detailed information about the subtle variation in the brain regions due to the presence of abnormality in brain tissues. It is further observed that the normalized feature vectors show better differentiation between tumor categories. The ROC and PRC curves exhibit the high classification ability using the extracted features to differentiate tumor grades.

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