| Operators |
kirsch_dir — Detect edges (amplitude and direction) using the Kirsch operator.
kirsch_dir(Image : ImageEdgeAmp, ImageEdgeDir : : )
kirsch_dir calculates an approximation of the first derivative of the image data and is used as an edge detector. The filter is based on the following filter masks:
-3 -3 5 -3 5 5 5 5 5 5 5 -3
-3 0 5 -3 0 5 -3 0 -3 5 0 -3
-3 -3 5 -3 -3 -3 -3 -3 -3 -3 -3 -3
5 -3 -3 -3 -3 -3 -3 -3 -3 -3 -3 -3
5 0 -3 5 0 -3 -3 0 -3 -3 0 5
5 -3 -3 5 5 -3 5 5 5 -3 5 5
The result image contains the maximum response of all masks. The
edge directions are returned in ImageEdgeDir, and are
stored as x / 2. They correspond to the direction of
the mask yielding the maximum response.
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.
Input image.
Edge amplitude (gradient magnitude) image.
Edge direction image.
read_image(Image,'fabrik') kirsch_dir(Image,Kirsch_dirA,Kirsch_dirD) threshold(Kirsch_dirA,Res,128,255)
kirsch_dir always returns 2 (H_MSG_TRUE). If the input is empty the behavior can be set via set_system('no_object_result',<Result>). If necessary, an exception is raised.
binomial_filter, gauss_filter, sigma_image, median_image, smooth_image
hysteresis_threshold, threshold, gray_skeleton, nonmax_suppression_dir, close_edges, close_edges_length
edges_image, sobel_dir, robinson_dir, prewitt_dir, frei_dir
bandpass_image, laplace_of_gauss
Foundation
| Operators |