How visualize texture gradients within grains
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|Sharpening the default colorcoding|
Using specialized orientation mappings is particularly useful when visualizing sharp data. Let us consider the following data set which restricts to the calcite phase
plotx2east mtexdata sharp ebsd = ebsd('calcite'); oM = ipdfHSVOrientationMapping(ebsd); close all; plot(ebsd,oM.orientation2color(ebsd.orientations))
and have a look into the 100 inverse pole figure.
% compute the positions in the inverse pole figure h = ebsd.orientations .\ vector3d.X; h = project2FundamentalRegion(h); % compute the azimuth angle in degree color = h.rho ./ degree; plotIPDF(ebsd.orientations,vector3d.X,'property',color,'MarkerSize',3,'grid') mtexColorbar
I'm plotting 8333 random orientations out of 20119 given orientations e = PropertyEvent with properties: AffectedObject: [1×1 ColorBar] Source: [1×1 matlab.graphics.internal.GraphicsMetaProperty] EventName: 'PostSet'
We see that all individual orientations are clustered around azimuth angle 115 degrees with some outliers at 125 and 130 degree. In order to increase the contrast for the main group, we restrict the color range from 110 degree to 120 degree.
caxis([110 120]); % by the following lines we colorcode the outliers in purple. cmap = colormap; cmap(end,:) = [1 0 1]; % make last color purple cmap(1,:) = [1 0 1]; % make first color purple colormap(cmap)
The same colorcoding we can now apply to the EBSD map.
% plot the data with the customized color plot(ebsd,color) % set scaling of the angles to 110 - 120 degree caxis([110 120]); % colorize outliers in purple. cmap = colormap; cmap(end,:) = [1 0 1]; cmap(1,:) = [1 0 1]; colormap(cmap)
Next, we want to apply the same ideas as above to the default MTEX color mapping, i.e. we want to stretch the colors such that they cover just the orientations of interest.
oM = ipdfHSVOrientationMapping(ebsd.CS.properGroup); % To this end, we first compute the inverse pole figure direction such that % the mean orientation is just at the gray spot of the inverse pole figure oM.inversePoleFigureDirection = mean(ebsd.orientations,'robust') * oM.whiteCenter; close all; plot(ebsd,oM.orientation2color(ebsd.orientations))
We observe that the orientation map is almost completely gray, except for the outliers which appears black. Next, we use the option maxAngle to increase contrast in the grayish part
oM.maxAngle = 7.5*degree; plot(ebsd,oM.orientation2color(ebsd.orientations))
ebsd = ebsd.gridify; F = infimalConvolutionFilter; F.lambda = 0.02; %smoothing parameter for the gradient F.mu = 0.01;% smoothing parameter for the hessian ebsd_smoothed = smooth(ebsd,F); plot(ebsd_smoothed,oM.orientation2color(ebsd_smoothed.orientations))
You may play around with the option maxAngle to obtain better results. As for interpretation keep in mind that white color represents the mean orientation and the color becomes more saturated and later dark as the orientation to color diverges from the mean orientation.
Let's have a look at the corresponding color map.
plot(oM,'resolution',0.25*degree) % TODO: Check this!!! %hold on %plotIPDF(ebsd.orientations,'points',10,'MarkerSize',1,'MarkerFaceColor','w','MarkerEdgeColor','w') %hold off
observe how in the inverse pole figure the orientations are scattered closely around the white center. Together with the fact that the transition from white to color is quite rapidly, this gives a high contrast.
Another example is when analyzing the orientation distribution within grains
mtexdata forsterite ebsd = ebsd('indexed'); % segment grains [grains,ebsd.grainId] = calcGrains(ebsd); % find largest grains largeGrains = grains(grains.grainSize > 800) ebsd = ebsd(largeGrains(1))
largeGrains = grain2d Phase Grains Pixels Mineral Symmetry Crystal reference frame 1 56 85514 Forsterite mmm 2 2 1969 Enstatite mmm boundary segments: 17507 triple points: 1247 Properties: GOS, meanRotation ebsd = EBSD Phase Orientations Mineral Color Symmetry Crystal reference frame 1 1453 (100%) Forsterite light blue mmm Properties: bands, bc, bs, error, mad, x, y, grainId Scan unit : um
When plotting one specific grain with its orientations we see that they all are very similar and, hence, get the same color
% plot a grain close all plot(largeGrains(1).boundary,'linewidth',2) hold on plot(ebsd,ebsd.orientations) hold off
when applying the option sharp MTEX colors the mean orientation as white and scales the maximum saturation to fit the maximum misorientation angle. This way deviations of the orientation within one grain can be visualized.
% plot a grain plot(largeGrains(1).boundary,'linewidth',2) hold on oM = ipdfHSVOrientationMapping(ebsd); oM.inversePoleFigureDirection = mean(ebsd.orientations) * oM.whiteCenter; oM.maxAngle = 2*degree; plot(ebsd,oM.orientation2color(ebsd.orientations)) hold off
ebsd = ebsd.gridify plot(ebsd,abs(ebsd.gradientX)) plot(ebsd,abs(ebsd.gradientY))
ebsd = EBSD Phase Orientations Mineral Color Symmetry Crystal reference frame 1 1453 (2344%) Forsterite light blue mmm Properties: bands, bc, bs, error, mad, x, y, grainId Scan unit : um Grid size : 33 x 62 Warning: Symmetry missmatch! Warning: Symmetry missmatch!
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