Operator Reference
gray_features (Operator)
gray_features — Calculates gray value features for a set of regions.
Signature
Description
gray_features has a set of regions
(Regions) as input. For each of these regions the
features (Features) are calculated and returned in Value.
Possible values for Features:
-
'area': Gray value volume of region (see
area_center_gray) -
'row': Row index of the center of gravity (see
area_center_gray) -
'column': Column index of the center of gravity (see
area_center_gray) -
'ra': Major axis of equivalent ellipse (see
elliptic_axis_gray) -
'rb': Minor axis of equivalent ellipse (see
elliptic_axis_gray) -
'phi': Orientation of equivalent ellipse (see
elliptic_axis_gray) -
'min': Minimum gray value (see
min_max_gray) -
'max': Maximum gray value (see
min_max_gray) -
'median': Median gray value (see
min_max_gray, withPercent=50) -
'mean':Mean gray value (see
intensity) -
'deviation': Deviation of gray values (see
intensity) -
'plane_deviation': Deviation from the approximating plane (see
plane_deviation) -
'anisotropy': Anisotropy (see
entropy_gray) -
'entropy': Entropy (see
entropy_gray) -
'fuzzy_entropy': Fuzzy entropy of region (see
fuzzy_entropy, with a fuzzy function fromApar=0 toCpar=255) -
'fuzzy_perimeter': Fuzzy perimeter of region (see
fuzzy_perimeter, with a fuzzy function fromApar=0 toCpar=255) -
'moments_row': Mixed moments along a row (see
moments_gray_plane) -
'moments_column': Mixed moments along a column (see
moments_gray_plane) -
'alpha': Approximating plane, parameter Alpha (see
moments_gray_plane) -
'beta': Approximating plane, parameter Beta (see
moments_gray_plane)
Attention
Several features are processed in the order in which they are entered.
Note that the operator gray_features only considers
the given Regions and ignores any previously set domain
of the input image Image.
Execution Information
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Automatically parallelized on tuple level.
Parameters
Regions (input_object) region-array → object
Regions to be examined.
Image (input_object) singlechannelimage → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / real)
Gray value image.
Features (input_control) string(-array) → (string)
Names of the features.
Default: 'mean'
List of values: 'alpha', 'anisotropy', 'area', 'beta', 'column', 'deviation', 'entropy', 'fuzzy_entropy', 'fuzzy_perimeter', 'max', 'mean', 'median', 'min', 'moments_column', 'moments_row', 'phi', 'plane_deviation', 'ra', 'rb', 'row'
Value (output_control) real(-array) → (real)
Values of the features.
Complexity
If F is the area of the region and N the number of features the runtime complexity is O(F * N).
Result
The operator gray_features returns the value 2 (
H_MSG_TRUE)
if the
input image has the defined gray values and the parameters are
correct. If necessary an exception is raised.
Possible Predecessors
connection,
mean_image,
entropy_image,
sobel_amp,
median_separate
Possible Successors
select_gray,
shape_trans,
reduce_domain,
count_obj
See also
select_gray,
deviation_image,
entropy_gray,
intensity,
mean_image,
min_max_gray,
select_obj
Module
Foundation