Arguments:
- { value0[%] | [image0] },_{ value1[%] | [image1] },_[pdf],_precision or
- [image]
Description:
Fill selected images with random values in the specified range.
If no
[pdf] (probability density function) is specified, random values follow a uniform distribution.
Argument
precision tells about the number of distinct values that can be generated when a
[pdf] is specified.
Examples of use:
• Example #1
400,400,1,3 rand -10,10 +blur 10 sign[-1]
Command: 400,400,1,3 rand -10,10 +blur 10 sign[-1]
Command: 400,400,1,3 rand -10,10 +blur 10 sign[-1]
• Example #2
(8,2,1) 50,50 rand[-1] 0,255,[-2]
Command: (8,2,1) 50,50 rand[-1] 0,255,[-2]
Command: (8,2,1) 50,50 rand[-1] 0,255,[-2]
• Example #3
256 gaussian[-1] 30 line[-1] 47%,0,53%,0,1,0 500,500 rand[-1] 0,255,[-2] +histogram[-1] 256 display_graph[0,2] 640,480,3,0
Command: 256 gaussian[-1] 30 line[-1] 47%,0,53%,0,1,0 500,500 rand[-1] 0,255,[-2] +histogram[-1] 256 display_graph[0,2] 640,480,3,0
Command: 256 gaussian[-1] 30 line[-1] 47%,0,53%,0,1,0 500,500 rand[-1] 0,255,[-2] +histogram[-1] 256 display_graph[0,2] 640,480,3,0
Command: 256 gaussian[-1] 30 line[-1] 47%,0,53%,0,1,0 500,500 rand[-1] 0,255,[-2] +histogram[-1] 256 display_graph[0,2] 640,480,3,0
G'MIC is an open-source software distributed under the
CeCILL free software licenses (LGPL-like and/or
GPL-compatible).
Copyrights (C) Since July 2008,
David Tschumperlé - GREYC UMR CNRS 6072, Image Team.
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