gen_cooc_matrix — Calculate the co-occurrence matrix of a region in an image.
The operator gen_cooc_matrix determines from the input
regions how often the gray values i and j are located next to
each other in a certain direction (0, 45,
90, 135 degrees), stores this number in the
co-occurrence matrix at the locations (i,j) and (j,i) (the
matrix is symmetrical), and finally scales the matrix with the
number of entries. LdGray indicates the number of gray
values to be distinguished (namely ).
Example: Input image with gray values (scaled with LdGray=2)
Co-occurrence matrix (not scaled):
Note that the operator gen_cooc_matrix only considers
the given Regions and ignores any previously set domain
of the input image Image.
Regions (input_object) region(-array) → object
Region to be checked.
Image (input_object) singlechannelimage → object (byte)
Image providing the gray values.
Matrix (output_object) image(-array) → object (real)
Co-occurrence matrix (matrices).
LdGray (input_control) integer → (integer)
Number of gray values to be distinguished ().
Default: 6
List of values: 1, 2, 3, 4, 5, 6, 7, 8
Value range:
LdGray
(lin)
Minimum increment: 1
Recommended increment: 1
Direction (input_control) integer → (integer)
Direction of neighbor relation.
Default: 0
List of values: 0, 45, 90, 135
The operator gen_cooc_matrix returns the value 2 (
H_MSG_TRUE)
if
an image with defined gray values is entered and the parameters are
correct. The behavior in case of empty input (no input images
available) is set via the operator
set_system(::'no_object_result',<Result>:),
the behavior in case of empty region is set via
set_system(::'empty_region_result',<Result>:).
If necessary an exception is raised.
draw_region,
gen_circle,
gen_ellipse,
gen_rectangle1,
gen_rectangle2,
threshold,
erosion_circle,
binomial_filter,
gauss_filter,
smooth_image,
sub_image
Foundation