disp_distribution🔗
Short description🔗
disp_distribution — Displays a noise distribution.
Warning🔗
disp_distribution is obsolete and is only provided for
reasons of backward compatibility.
Signature🔗
disp_distribution( window WindowHandle, real Distribution, point.y Row, point.x Column, integer Scale )
Description🔗
disp_distribution displays a distribution in the window.
Row and Column define the position of the center of
the graphic.
Scale allows scaling of the graphic, whereby 1 means
displaying all 256 values, 2 means displaying 128 values, 3
means displaying only 64 values, etc.
Noise distributions can be generated with
operations like gauss_distribution or
noise_distribution_mean.
Execution information🔗
Execution information
-
Multithreading type: reentrant (runs in parallel with non-exclusive operators).
-
Multithreading scope: global (may be called from any thread).
-
Processed without parallelization.
Parameters🔗
WindowHandle (input_control) window → (handle)
Window handle.
Distribution (input_control) real-array → (real)
Gray value distribution (513 values).
Row (input_control) point.y → (integer)
Row index of center.
Default: 256
Suggested values: 0, 64, 128, 256
Value range: 0 ≤ Row ≤ 511 (lin)
Minimum increment: 1
Recommended increment: 10
Column (input_control) point.x → (integer)
Column index of center.
Default: 256
Suggested values: 0, 64, 128, 256
Value range: 0 ≤ Column ≤ 511 (lin)
Minimum increment: 1
Recommended increment: 10
Scale (input_control) integer → (integer)
Size of display.
Default: 1
Suggested values: 1, 2, 3, 4, 5, 6
Example🔗
(HDevelop)
open_window(0,0,-1,-1,'root','visible','',WindowHandle)
set_draw(WindowHandle,'fill')
set_color(WindowHandle,'white')
read_image(Image,'monkey')
draw_region(Region,WindowHandle)
noise_distribution_mean(Region,Image,21,Distribution)
disp_distribution (WindowHandle,Distribution,100,100,3)
Combinations with other operators🔗
Combinations
Possible predecessors
open_window, set_draw, set_color, set_colored, set_line_width, set_rgb, set_hsi, noise_distribution_mean, gauss_distribution
See also
gen_region_histo, gauss_distribution, noise_distribution_mean
Module🔗
Foundation