Differences between revisions 3 and 4

Image statistics

The image is characterised by a probability density function (PDF). The PDF f describes the probability of the occurrence of a discrete grey level q in the range of grey levels Q.

latex error! exitcode was 2 (signal 0), transscript follows:

Example

The following code calculates the PDF pdf for a byte image in the intervall [0,255]

   1 h=histogram(img,bins=256,range=[0,255],normed=True)
   2 pdf,x=h[0],h[1]

The expression normed=True is used for the normalization of the PDF.

latex error! exitcode was 2 (signal 0), transscript follows:

-  ⇤ ← Revision 3 as of 2008-12-08 12:29:33 → 
  Size: 688
  Editor: anonymous
  Comment:
+   ← Revision 4 as of 2008-12-08 12:32:36 → ⇥
  Size: 769
  Editor: anonymous
  Comment:
-Deletions are marked like this.
+Additions are marked like this.
 Line 21:
-{{{#!latex
$\sum_{q=0}^255f_q=1$
}}}
-Line 29:
+Line 26:
+The expression {{{normed=True}}} is used for the normalization of the PDF. 
{{{#!latex
$\sum_{q=0}^{255}f_q=1$
}}}