mrcImageShapePCA

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mrcImageShapePCA is Eos's Command for determine of the orientation of 3D image's shape.

Algorithm

 It determines the orientation of 3D object's shape by using Principal Component Analysis.

List of option

Main option

Option Essential/Optional Description Default
-i Essential Input: mrcImage NULL
-o Optional Output: ASCII stdout(Standard output by default)
-C Optional Variable: C1 C2... Ci: put each of points 0.0 ...
-c Optional ConfigurationFile NULL
-m Optional Mode 0
-h Optional Help  

-m details

Value Description
0


Execution example

Input file image

Input-mrcImageShapePCA.png
xy-plane

Input1-mrcImageShapePCA.png
yz-plane

Min

Max
Mean
SD

SE

0 (0, 0, 0)

5 (35, 42, 36)
0.00451895
0.0913615

0.000155997


Option -C

Case: C=0

# PCA ResultsConvariace Matrix: 2 3 3 
   14505.161133      198.588654     2422.490479 
     198.588654    14068.363281     -839.463379 
    2422.490479     -839.463379    13960.040039 
UnitVector: one unit vector per line, from 1st 2 3 3 
       0.719602       -0.159090        0.675917 
       0.313963        0.942763       -0.112358 
      -0.619354        0.293066        0.728363 
Lambda: 1st 2nd 3rd1 3 
   16736.683594    14234.544922    11562.336914 
Average: 1 3 
      37.617535       45.253372       38.918110 


Case: C=(0, 1, 2, 3, 4)

# PCA ResultsConvariace Matrix: 2 3 3 
   20669.468750      417.175446     3364.196045 
     417.175446    20182.199219    -1254.394897 
    3364.196045    -1254.394897    20143.558594 
UnitVector: one unit vector per line, from 1st 2 3 3 
       0.706418       -0.155129        0.690586 
       0.333752        0.933412       -0.131727 
      -0.624166        0.323539        0.711153 
Lambda: 1st 2nd 3rd1 3 
   23866.658203    20508.390625    16620.177734 
Average: 1 3 
      37.495483       45.239353       38.885162