shape_histo_all — Determine a histogram of features along all threshold values.
shape_histo_all carries out 255 threshold
Region with the gray values of
Image. The entry i in the histogram corresponds to the
number of connected components/holes of this image segmented with
the threshold i (
'connected_components', 'holes') or the mean
value of the feature values of the regions segmented in this way
Feature = 'convexity', 'compactness',
shape_histo_all expects a region and exactly
one gray value image as input. Because of the power of this
operator the runtime of
shape_histo_all is relatively large!
Note that the operator
shape_histo_all only considers
Region and ignores any previously set domain
of the input image
Region in which the features are to be examined.
Gray value image.
Feature to be examined.
Default value: 'connected_components'
List of values: 'anisometry', 'compactness', 'connected_components', 'convexity', 'holes'
→(real / integer)
Absolute distribution of the feature.
Relative distribution of the feature.
* Simulation of shape_histo_all with feature 'connected_components': * my_shape_histo_all(Region,Image,AbsHisto,RelHisto): reduce_domain(Region,Image,RegionGray) for i := 0 to 255 by 1 threshold(RegionGray,Seg,i,255) connect_and_holes (Seg, NumConnected, _) AbsHisto[i] := NumConnected endfor Sum := 0 for i := 0 to 255 by 1 Sum := Sum+AbsHisto[i] endfor for i := 0 to 255 by 1 RelHisto[i] := AbsHisto[i]/Sum endfor
If F is the area of the input region and N the mean number of connected components the runtime complexity is .
shape_histo_all returns the value TRUE if an
image with the defined gray values is entered. The behavior in case
of empty input (no input images) is set via the operator
the behavior in case of empty region is set via
If necessary an exception is raised.