| Operators |
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 0 0 3
(scaled with LdGray=2) 1 1 2
1 2 3
Co-occurrence matrix (not scaled):
2 0 0 1 0 1 1 0
0: 0 2 2 0 135: 1 0 1 1
0 2 0 1 1 1 0 0
1 0 1 0 0 1 0 0
0 2 0 0 0 1 0 0
90: 2 2 1 0 45: 1 2 0 1
0 1 0 2 0 0 2 0
0 0 2 0 0 1 0 0
Note that the operator gen_cooc_matrix only considers the given Regions and ignores any previously set domain of the input image Image.
Region to be checked.
Image providing the gray values.
Co-occurrence matrix (matrices).
Number of gray values to be distinguished ().
Default value: 6
List of values: 1, 2, 3, 4, 5, 6, 7, 8
Typical range of values: LdGray (lin)
Minimum increment: 1
Recommended increment: 1
Direction of neighbor relation.
Default value: 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
| Operators |