Expansion of a displacement vector field onto undefined areas.
The operator fill_dvf calculates a value for each undefined point in a displacement vector field by averaging its neighbors. The dimension of the neighborhod will be determined by the parameters Width and Height. As the gaps may be larger than the masks, the filter may be used iteratively (Iterations). Correctly defined values in the input image will not be modified.
|
Image (input_object) |
image(-array) -> object : dvf |
| Input image. | |
|
ImageExpanded (output_object) |
image(-array) -> object : dvf |
| Result of adding the points which are missing. | |
|
Width (input_control) |
extent.x -> integer |
| Width of the filtermask. | |
| Default value: 5 | |
| Suggested values: 3, 5, 7, 9, 11, 15 | |
| Typical range of values: 3 <= Width <= 201 | |
| Minimum increment: 2 | |
|
Recommended increment: 2 | |
|
Height (input_control) |
extent.y -> integer |
| Height of the filtermask. | |
| Default value: 5 | |
| Suggested values: 3, 5, 7, 9, 11, 13, 15 | |
| Typical range of values: 3 <= Height <= 201 | |
| Minimum increment: 2 | |
|
Recommended increment: 2 | |
|
Iterations (input_control) |
integer -> integer |
| Number of iterations. | |
| Default value: 3 | |
| Suggested values: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 | |
| Typical range of values: 1 <= Iterations <= 100 | |
| Minimum increment: 1 | |
|
Recommended increment: 1 | |
fill_dvf is reentrant and automatically parallelized (on tuple level, domain level).
Image filters
