Differences between revisions 24 and 29 (spanning 5 versions)
Revision 24 as of 2015-06-25 10:44:53
Size: 7364
Comment:
Revision 29 as of 2015-06-25 11:36:53
Size: 6760
Comment:
Deletions are marked like this. Additions are marked like this.
Line 97: Line 97:
    1 M596105841F0 1.133 0.000 1.000 26
    2 M596106238F0 1.271 0.000 1.000 26
    3 S594918087F0 1.504 0.000 1.000 121
    4 S594918496F0 1.078 0.000 1.000 120
    5 S594918904F0 1.524 0.000 1.000 113
    6 S594919721F0 0.984 0.000 1.000 81
    7 S594920129F0 0.970 0.000 1.000 72
    8 S594920537F0 1.602 0.000 1.000 67
    9 S594920946F0 1.061 0.000 1.000 56
   10 S594965887F0 1.521 0.000 1.000 85
   11 S594966296F0 0.987 0.000 1.000 84
   12 S594966704F0 0.946 0.000 1.000 80
   13 S594967112F0 1.012 0.000 1.000 64
   14 S594967521F0 1.015 0.000 1.000 54
   15 S595057464F1 1.060 0.000 0.737 20
   16 S595057569F1 1.011 0.000 0.998 45
   17 S595057864F1 1.382 0.000 0.914 21
   18 S595057964F1 1.370 0.000 1.000 58
   19 S595058072F1 1.147 0.000 0.772 79
   20 S595058359F1 1.033 0.000 1.000 24
   21 S595058467F1 1.097 0.000 0.748 38
   22 S595058649F1 1.446 0.000 0.575 28
   23 S595058754F1 1.050 0.000 1.000 12
   24 S595058862F1 1.443 0.000 0.566 31
   25 S595059044F1 1.147 0.000 1.000 46
   26 S595059154F1 1.086 0.000 0.871 16
   27 S595059544F1 1.137 0.000 1.000 26
   28 S595059939F1 1.581 0.000 1.000 19
   29 S595060334F1 1.127 0.000 1.000 19
   30 S595060837F1 1.732 0.000 1.000 14
   31 S595152375F1 1.185 0.000 1.000 33
   32 S595626396F2 1.629 0.000 0.708 18
   33 S595626804F2 1.581 0.000 1.000 15
   34 S595627212F2 1.373 0.000 1.000 14
   35 S595627621F2 1.388 0.000 1.000 11
   36 S595628029F2 1.322 0.000 0.585 12
   37 S595707896F3 1.278 0.000 1.000 4
    1 M595328241F0 1.541 0.000 1.000 347
    2 M595414641F0 1.093 0.000 1.000 140
    3 M595415038F0 1.282 0.000 1.000 171
    4 M595415434F0 1.227 0.000 1.000 188
    5 M595415831F0 1.301 0.000 1.000 203
    6 M595416228F0 1.312 0.000 1.000 230
    7 S595062704F1 1.391 0.000 1.000 173
    8 S595063099F1 1.138 0.000 0.548 189
    9 S595063212F1 1.385 0.000 1.000 202
   10 S595063299F1 1.474 0.000 0.702 93
   11 S595063602F1 1.390 0.000 0.885 190
   12 S595063694F1 1.372 0.000 1.000 123
   13 S595063997F1 1.385 0.000 0.550 201
   14 S595281612F2 1.857 0.000 0.569 53
   15 S595282021F2 0.170 0.000 0.801 112
Line 143: Line 121:
   1 M596105841F0 -0.073 -0.051 0.824 ++++
   2 M596106238F0 0.116 -0.765 0.838 ++++
   3 S594918087F0 -0.076 -0.082 0.757 ++++
   4 S594918496F0 -0.054 -0.053 0.771 ++++
   5 S594918904F0 -0.037 -0.030 0.831 ++++
   6 S594919721F0 -0.015 -0.030 0.860 +++++
   7 S594920129F0 -0.009 -0.018 0.852 ++++
   8 S594920537F0 0.024 -0.009 0.874 +++++
   9 S594920946F0 0.053 -0.014 0.853 ++++
  10 S594965887F0 -0.016 -0.013 0.938 +++++
  11 S594966296F0 -0.017 -0.009 0.919 +++++
  12 S594966704F0 -0.009 -0.008 0.926 +++++
  13 S594967112F0 0.008 -0.012 0.916 +++++
  14 S594967521F0 0.030 0.003 0.919 +++++
  15 S595057464F1 -0.111 -0.039 0.759 ++++
  16 S595057569F1 -0.022 -0.026 0.824 ++++
  17 S595057864F1 1.053 -0.614 0.713 +++
  18 S595057964F1 -0.015 -0.013 0.894 +++++
  19 S595058072F1 -0.032 -0.029 0.892 +++++
  20 S595058359F1 -0.017 -0.013 0.905 +++++
  21 S595058467F1 -0.013 -0.015 0.879 +++++
  22 S595058649F1 0.021 0.038 0.809 ++++
  23 S595058754F1 -0.014 -0.010 0.841 ++++
  24 S595058862F1 -0.010 -0.009 0.940 +++++
  25 S595059044F1 0.014 0.007 0.893 +++++
  26 S595059154F1 -0.004 -0.011 0.932 +++++
  27 S595059544F1 -0.010 -0.014 0.932 +++++
  28 S595059939F1 0.011 0.006 0.920 +++++
  29 S595060334F1 -0.001 -0.032 0.897 +++++
  30 S595060837F1 0.030 0.029 0.888 +++++
  31 S595152375F1 0.021 0.019 0.906 +++++
  32 S595626396F2 -0.016 -0.013 0.766 ++++
  33 S595626804F2 0.003 0.027 0.891 +++++
  34 S595627212F2 -0.033 -0.043 0.838 ++++
  35 S595627621F2 0.049 -0.067 0.859 +++++
  36 S595628029F2 0.114 -0.155 0.781 ++++
  37 S595707896F3 -0.037 -0.058 0.657 +++
     0.177 0.156
   1 M595328241F0 0.0000 0.0000 0.000
   2 M595414641F0 -0.014 0.116 0.825 ++++
   3 M595415038F0 -0.012 0.124 0.850 ++++
   4 M595415434F0 -0.044 0.061 0.827 ++++
   5 M595415831F0 -0.034 -0.109 0.790 ++++
   6 M595416228F0 0.231 0.101 0.698 +++
   7 S595062704F1 -0.027 0.018 0.685 +++
   8 S595063099F1 -0.027 0.017 0.821 ++++
   9 S595063212F1 -0.015 -0.005 0.778 ++++
  10 S595063299F1 -0.017 -0.005 0.854 ++++
  11 S595063602F1 -0.010 0.005 0.775 ++++
  12 S595063694F1 -0.013 -0.010 0.779 ++++
  13 S595063997F1 -0.017 -0.016 0.670 +++
  14 S595281612F2 0.075 0.159 0.608 +++
  15 S595282021F2 -0.011 0.000 0.684 +++
     0.068 0.069
Line 184: Line 140:

From the output above, the + marks next to each picture indicate how well its respected image is correlated with the others/topography. The more landmarks the better. The columns to the right of the image names indicate how much each image has moved in the x, y, and z direction (by pixels?)respectfully. For the the example, all the images seem to be well correlated except for the first image. This means that the first image needs to be moved more than 1 space (which was previously selected) to correlate. Thus the following commands are entered to see if the first image will become correlated.

{{{
1
3
}}}

These give the following output:

{{{
new spacing? y[n]
y

 enter spacing
3
 3
   1 M595328241F0 2.703 5.959 0.819 ++++
   2 M595414641F0 -0.266 0.064 0.877 +++++
   3 M595415038F0 -0.269 0.087 0.897 +++++
   4 M595415434F0 -0.185 0.116 0.869 +++++
   5 M595415831F0 -0.063 0.138 0.830 ++++
   6 M595416228F0 0.283 0.534 0.751 ++++
   7 S595062704F1 0.101 -0.178 0.795 ++++
   8 S595063099F1 -0.007 -0.115 0.891 +++++
   9 S595063212F1 0.044 -0.144 0.861 +++++
  10 S595063299F1 0.002 -0.103 0.899 +++++
  11 S595063602F1 0.057 -0.243 0.853 ++++
  12 S595063694F1 -0.007 -0.138 0.862 +++++
  13 S595063997F1 0.099 -0.437 0.778 ++++
  14 S595281612F2 0.0000 0.0000 0.000
  15 S595282021F2 -0.183 0.015 0.715 +++
     0.719 1.558

 new spacing? y[n]
}}}

As can be seen, the first image appears to be correlated, but now the fourteenth image is all messed up. At this moment it worth visually inspecting the images for any irregularities. The best way to visually inspect the images is to use the updateDisplay tool Eric provided. See the updateDisplay tool for instructions on how to set up and use.

The maplets for landmark EM0004 look like this.

{{attachment:EM0004_1.jpg||width=300}}

Fixing Landmarks

Image of thing to try:

problem.jpg

When to Fix Landmarks

At the end of each tiling or iteration, a form of find_nofit (T or P) is used to check for bad landmarks.

A common find_nofit output will look soemthing like this:

EQ0004:   cat 004.OOT 
EP0002:   cat 005.OOT 
EP0003:   cat 006.OOT 
EO0003:   cat 007.OOT 
EN0003: * cat 008.OOT 
EN0004: * cat 009.OOT 
EM0003: . cat 010.OOT 
EM0004: * cat 011.OOT 
132 deleted
   !  cat 132.OOTThe 

The Four main types of find_nofit outputs are:

  • ! - the landmark was deleted
  • . - the landmark has overlaps
  • (space) - the landmark has minor error (don't worry about it).
  • * - the landmark has a major error and must be fixed.

All errors are worth recording, but the only output from find_nofit that warrants serious concern is *. Whenever a * is present in the find_nofit output the landmark that * is associated with must be fixed. To fix bad land marks lithos is used in the working directory.

How to Fix Landmarks

Once a problem landmark is identified, the executable lithos can be entered in the working directory to fix the landmark. The steps to do this are as follows:

Step 1

The first major step in fixing a bad landmark is to select that landmark within lithos. As an example, the landmark EM0004 in the find_nofit output above has major errors. To select this landmark the following commands are entered in the lithos executable:

i
EM0004
n
n

The output of these commands looks like this:

Current landmark = NONE  
Main Menu: Q 0123O IUCRSG NVAMBX DEPL FZH? i
 >i                                                                               

 Input 6-character landmark name.[Q]
EM0004
    -0.31014     0.47683    -0.31113     0.29307

 gc slope.pgm


 Check for more images? y[n]
n
 Include a single image? y[n]
n

Step 2

With a landmark identified in lithos, the next step is to align the landmark within various images of which it is present to one another. To do this, the following commands are typed into the lithos main menu.

1
0
1

The output of these commands looks like this.

Main Menu: Q 0123O IUCRSG NVAMBX DEPL FZH? 1
 >1                                                                               

 0. Auto align
 1. Individual shift
 2. Global shift
 3. Align with picture
 4. Align with gradient
 q. Quit
0
 0


    k     picnm            lambda      phi      cvg       nlmk  

    1   M595328241F0        1.541     0.000     1.000     347
    2   M595414641F0        1.093     0.000     1.000     140
    3   M595415038F0        1.282     0.000     1.000     171
    4   M595415434F0        1.227     0.000     1.000     188
    5   M595415831F0        1.301     0.000     1.000     203
    6   M595416228F0        1.312     0.000     1.000     230
    7   S595062704F1        1.391     0.000     1.000     173
    8   S595063099F1        1.138     0.000     0.548     189
    9   S595063212F1        1.385     0.000     1.000     202
   10   S595063299F1        1.474     0.000     0.702      93
   11   S595063602F1        1.390     0.000     0.885     190
   12   S595063694F1        1.372     0.000     1.000     123
   13   S595063997F1        1.385     0.000     0.550     201
   14   S595281612F2        1.857     0.000     0.569      53
   15   S595282021F2        0.170     0.000     0.801     112

 gc LMRK_DISPLAY0.pgm
 gc LMRK_DISPLAY1.pgm

 check display

 enter spacing
1
 1           
   1   M595328241F0       0.0000    0.0000     0.000
   2   M595414641F0       -0.014     0.116     0.825 ++++ 
   3   M595415038F0       -0.012     0.124     0.850 ++++ 
   4   M595415434F0       -0.044     0.061     0.827 ++++ 
   5   M595415831F0       -0.034    -0.109     0.790 ++++ 
   6   M595416228F0        0.231     0.101     0.698 +++  
   7   S595062704F1       -0.027     0.018     0.685 +++  
   8   S595063099F1       -0.027     0.017     0.821 ++++ 
   9   S595063212F1       -0.015    -0.005     0.778 ++++ 
  10   S595063299F1       -0.017    -0.005     0.854 ++++ 
  11   S595063602F1       -0.010     0.005     0.775 ++++ 
  12   S595063694F1       -0.013    -0.010     0.779 ++++ 
  13   S595063997F1       -0.017    -0.016     0.670 +++  
  14   S595281612F2        0.075     0.159     0.608 +++  
  15   S595282021F2       -0.011     0.000     0.684 +++  
     0.068     0.069

 new spacing? y[n]

From the output above, the + marks next to each picture indicate how well its respected image is correlated with the others/topography. The more landmarks the better. The columns to the right of the image names indicate how much each image has moved in the x, y, and z direction (by pixels?)respectfully. For the the example, all the images seem to be well correlated except for the first image. This means that the first image needs to be moved more than 1 space (which was previously selected) to correlate. Thus the following commands are entered to see if the first image will become correlated.

1
3

These give the following output:

new spacing? y[n]
y

 enter spacing
3
 3           
   1   M595328241F0        2.703     5.959     0.819 ++++ 
   2   M595414641F0       -0.266     0.064     0.877 +++++
   3   M595415038F0       -0.269     0.087     0.897 +++++
   4   M595415434F0       -0.185     0.116     0.869 +++++
   5   M595415831F0       -0.063     0.138     0.830 ++++ 
   6   M595416228F0        0.283     0.534     0.751 ++++ 
   7   S595062704F1        0.101    -0.178     0.795 ++++ 
   8   S595063099F1       -0.007    -0.115     0.891 +++++
   9   S595063212F1        0.044    -0.144     0.861 +++++
  10   S595063299F1        0.002    -0.103     0.899 +++++
  11   S595063602F1        0.057    -0.243     0.853 ++++ 
  12   S595063694F1       -0.007    -0.138     0.862 +++++
  13   S595063997F1        0.099    -0.437     0.778 ++++ 
  14   S595281612F2       0.0000    0.0000     0.000
  15   S595282021F2       -0.183     0.015     0.715 +++  
     0.719     1.558

 new spacing? y[n]

As can be seen, the first image appears to be correlated, but now the fourteenth image is all messed up. At this moment it worth visually inspecting the images for any irregularities. The best way to visually inspect the images is to use the updateDisplay tool Eric provided. See the updateDisplay tool for instructions on how to set up and use.

The maplets for landmark EM0004 look like this.

Fixing_problem_landmarks (last edited 2015-06-25 15:51:24 by KristoferDrozd)