| Operators |
median_separate — Separated median filtering with rectangle masks.
median_separate(Image : ImageSMedian : MaskWidth, MaskHeight, Margin : )
The operator median_separate carries out a variation of the median filtering: First two auxiliary images are created. The first one originates from a median filtering with a horizontal mask having a height of one pixel and the width MaskWidth followed by filtering with a vertical mask having the height MaskHeight and width of one pixel. The second auxiliary image is created by filtering with the same masks, but with a reversed sequence of the operation: first the vertical, then the horizontal mask. The output image results from averaging the two auxiliary images pixel by pixel.
The operator median_separate is clearly faster than the normal operator median_image because both masks are one pixel wide, facilitating a very effecient processing. The runtime is practically independent of the size of the mask. For example, the operator median_separate can be well used after texture filters, where large masks are needed.
The filter can also be used several times in a row in order to enhance the smoothing.
For an explanation of the concept of smoothing filters see the introduction of chapter Filters / Smoothing.
Note that filter operators may return unexpected results if an image with a reduced domain is used as input. Please refer to the chapter Filters.
Due to performance reasons, the input Image is not checked whether it contains NaNs. Using an input image with NaNs crashes HALCON.
Image to be filtered.
Median filtered image.
Width of rank mask.
Default value: 25
Suggested values: 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 27, 43, 51, 67, 91, 121, 151
Typical range of values: 1 ≤ MaskWidth ≤ 401
Minimum increment: 2
Recommended increment: 2
Height of rank mask.
Default value: 25
Suggested values: 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 27, 43, 51, 67, 91, 121, 151
Typical range of values: 1 ≤ MaskHeight ≤ 401
Minimum increment: 2
Recommended increment: 2
Border treatment.
Default value: 'mirrored'
Suggested values: 'mirrored', 'cyclic', 'continued', 0, 30, 60, 90, 120, 150, 180, 210, 240, 255
read_image(Image,'fabrik') median_separate(Image,MedianSeparate,5,5,3) dev_display(MedianSeparate)
For each pixel: O(40).
texture_laws, sobel_amp, deviation_image
learn_ndim_norm, regiongrowing, auto_threshold
R. Haralick, L. Shapiro; “Computer and Robot Vision”; Addison-Wesley, 1992, Seite 319
Foundation
| Operators |