I saw the following relationship between sigma and radius in Gaussian blur (from http://en.wikipedia.org/wiki/Talk%3AGaussian_blur#Radius_again , as well as from the implementation of some programs, for example http://imagej.nih.gov/ij /source/ij/plugin/filter/GaussianBlur.java line 526)
Where does this relation come from? (I think 255 has to do with accuracy (255 = 2 ^ 8-1 => 8 bit images)
When using a Gaussian kernel with sigma as its parameter, you actually use:
, , 1 ( ), . - , , r, :
r
+1 , , . , :
, .