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simple loader for pixel maps allowing grain reconstruction using mtex

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pix2mtex

A simple loader for pixel maps allowing grain reconstruction using mtex.

Three image models are available: matrix, single and poly

matrix

This is a map of test grains (black) on a white background, which is an example for the model 'matrix':

testgrains

[ebsd,grains]=loadPhaseMap('testgrains.png','matrix')
 
ebsd = EBSD (show methods, plot)
 
 Phase  Orientations     Mineral       Color  Symmetry  Crystal reference frame
     0  285285 (79%)  notIndexed                                               
     1   74715 (21%)      1phase  light blue        -1       X||a, Y||b*, Z||c*
 
 Properties: x, y, grainId
 Scan unit : um
 
grains = grain2d (show methods, plot)
 
 Phase  Grains  Pixels     Mineral  Symmetry  Crystal reference frame
     0       1  285285  notIndexed                                   
     1      15   74715      1phase        -1       X||a, Y||b*, Z||c*
 
 boundary segments: 8768
 triple points: 0
 
 Id   Phase   Pixels   GOS   phi1   Phi   phi2
  1       1     4925     0      0     0      0
  2       1     4939     0      0     0      0
  3       1     5396     0      0     0      0
  4       1     4968     0      0     0      0
  5       1     4994     0      0     0      0
  6       1     3001     0      0     0      0
  7       1     6561     0      0     0      0
  8       1     6525     0      0     0      0
  9       1     6613     0      0     0      0
 10       1     5439     0      0     0      0
 11       1     3192     0      0     0      0
 12       1     6785     0      0     0      0
 13       1     5456     0      0     0      0
 14       1     2953     0      0     0      0
 15       1     2968     0      0     0      0
 16       0   285285     0      0     0      0

single

Using a pixel map with 2 pixel wide bounadries (white) of otherwise space-filling grains is an example for the 'single' model.

single-small

[ebsd,grains]=loadPhaseMap('single-small.png','single')
% by default, non-indexed points are removed and the area between grains
% is considered as empty and hence will be reconstructed during grain computation
plot(grains)

single-results

poly

This is an example of the 'poly' model which requires I) a phase map where each phase is described by a gray value and II) a boundary map.

boundarymap phasemap

[ebsd,grains]=loadPhaseMap('boundarymap.png','phasemap.png','poly')
grains=calcGrains(ebsd('indexed'))
plot(grains)

poly_result

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