Smooth by averaging.
The operator mean_image carries out a linear smoothing with the gray values of all input images (Image). The filter matrix consists of ones (evaluated equally) and has the size MaskHeight x MaskWidth. The result of the convolution is divided by MaskHeight x MaskWidth . For border treatment the gray values are reflected at the image edges.
If even values instead of odd values are given for MaskHeight or MaskWidth, the routine uses the next larger odd values instead (this way the center of the filter mask is always explicitly determined).
|
Image (input_object) |
(multichannel-)image(-array) -> object : byte / int2 / uint2 / int4 / real / dvf |
| Image to be smoothed. | |
|
ImageMean (output_object) |
(multichannel-)image(-array) -> object : byte / int2 / uint2 / int4 / real / dvf |
| Smoothed image. | |
|
MaskWidth (input_control) |
extent.x -> integer |
| Width of filter mask. | |
| Default value: 9 | |
| Suggested values: 3, 5, 7, 9, 11, 15, 23, 31, 43, 61, 101 | |
| Typical range of values: 1 <= MaskWidth <= 501 | |
| Minimum increment: 2 | |
|
Recommended increment: 2 | |
| Restriction: odd(MaskWidth) | |
|
MaskHeight (input_control) |
extent.y -> integer |
| Height of filter mask. | |
| Default value: 9 | |
| Suggested values: 3, 5, 7, 9, 11, 15, 23, 31, 43, 61, 101 | |
| Typical range of values: 1 <= MaskHeight <= 501 | |
| Minimum increment: 2 | |
|
Recommended increment: 2 | |
| Restriction: odd(MaskHeight) | |
read_image(Image,'fabrik') mean_image(Image,Mean,3,3) disp_image(Mean,WindowHandle).
For each pixel: O(15).
If the parameter values are correct the operator mean_image returns the value 2 (H_MSG_TRUE). The behavior in case of empty input (no input images available) is set via the operator set_system('no_object_result',<Result>). If necessary an exception handling is raised.
mean_image is reentrant and automatically parallelized (on tuple level, channel level, domain level).
anisotrope_diff, sigma_image, convol_image, gen_lowpass
Image filters
