local_max🔗
Short description🔗
local_max — Detect all local maxima in an image.
Signature🔗
local_max( image Image, out region LocalMaxima )
Description🔗
local_max extracts all points from Image having a gray
value larger than the gray value of all its neighbors and returns them in
LocalMaxima. The neighborhood used can be set by
set_system(::'neighborhood',<4/8>).
Execution information🔗
Execution information
-
Multithreading type: reentrant (runs in parallel with non-exclusive operators).
-
Multithreading scope: global (may be called from any thread).
-
Automatically parallelized on tuple level.
Parameters🔗
Image (input_object) singlechannelimage(-array) → object (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real)
Input image.
LocalMaxima (output_object) region(-array) → object
Extracted local maxima as a region.
Number of elements: LocalMaxima == Image
Example🔗
(C)
read_image(&Image,"fabrik")\;
corner_responce(Image,&CornerResp,5,0.04)\;
local_max(CornerResp,&Maxima)\;
set_colored(WindowHandle,12)\;
disp_region(Maxima,WindowHandle)\;
T_get_region_points(Maxima,&Row,&Col)\;
#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std\;
#endif
#include "HalconCpp.h"
using namespace Halcon\;
int main (int argc, char *argv[])
{
using namespace Halcon\;
if (argc != 2)
{
cout << "Usage : " << argv[0] << " <name of image>" << endl\;
return (-1)\;
}
HImage image (argv[1])\;
HWindow win\;
image.Display (win)\;
HImage cres = image.CornerResponse (5, 0.04)\;
HRegionArray maxi = cres.LocalMax ()\;
win.SetColored (12)\;
maxi.Display (win)\;
win.Click ()\;
return (0)\;
}
Combinations with other operators🔗
Combinations
Possible predecessors
binomial_filter, gauss_filter, smooth_image
Possible successors
Alternatives
nonmax_suppression_amp, plateaus, plateaus_center
See also
Module🔗
Foundation