Detect edges (amplitude) using the Kirsch operator.
::kirsch_amp 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.
|
Image (input_object) |
(multichannel-)image(-array) -> Hobject: HImage(Array) ( byte / int2 ) |
| Input image. | |
|
ImageEdgeAmp (output_object) |
image(-array) -> Hobject * : HImage(Array) ( byte / int2 ) |
| Edge amplitude (gradient magnitude) image. | |
read_image(&Image,"fabrik"); kirsch_amp(Image,&Kirsch_amp); threshold(Kirsch_amp,&Edges,128,255);
::kirsch_amp always returns H_MSG_TRUE. If the input is empty the behaviour can be set via ::set_system('no_object_result',<Result>). If necessary, an exception handling is raised.
::gauss_image, ::sigma_image, ::median_image, ::smooth_image
::sobel_amp, ::frei_amp, ::prewitt_amp, ::robinson_amp, ::roberts
::bandpass_image, ::laplace_of_gauss
Image filters