Calculate the entropy of gray values within a rectangular window.
entropy_image calculates the entropy of gray values in the image Image within a rectangular mask of size (Height, Width). The resulting image is returned in ImageEntropy, in which the entropy is multiplied by 32. If the parameters Height and Width are even, they are changed to the next larger odd value. At the image borders the gray values are mirrored.
|
Image (input_object) |
(multichannel-)image(-array) -> object : byte |
| Image for which the entropy is to be calculated. | |
|
ImageEntropy (output_object) |
(multichannel-)image(-array) -> object : byte |
| Entropy image. | |
|
Width (input_control) |
extent.x -> integer |
| Width of the mask in which the entropy is calculated. | |
| Default value: 9 | |
| List of values: 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25 | |
| Suggested values: 3, 5, 7, 9, 11, 13, 15 | |
| Restriction: (3 <= Width) && odd(Width) | |
|
Height (input_control) |
extent.y -> integer |
| Height of the mask in which the entropy is calculated. | |
| Default value: 9 | |
| List of values: 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25 | |
| Suggested values: 3, 5, 7, 9, 11, 13, 15 | |
| Restriction: (3 <= Height) && odd(Height) | |
read_image(Image,'fabrik') disp_image(Image,WindowHandle) entropy_image(Image,Entropy1,9,9) disp_image(Entropy1,WindowHandle).
entropy_image returns 2 (H_MSG_TRUE) if all parameters are correct. If the input is empty the behaviour can be set via set_system('no_object_result',<Result>). If necessary, an exception handling is raised.
entropy_image is reentrant and automatically parallelized (on tuple level, channel level, domain level).
Image filters
