LIBIMPROV - Help File

4. The image processing operations

Here is a brief summary of the image processing operations available
in IMPROV.

NOP		No Operation
Identity  	Copy source image to target image
Negation	Negate source image (p`=maxcol-p)
Dither(2x2)	Target image contains only black/white pixels
Difference	Difference image of source and previous source
Count		Count pixels of a given (P1) grey value. Result is shown
		in text window.
Threshold	Binarize image. Threshold is given by P1

Minimum	3x3 Minimum Filter
Maximum	3x3 Maximum Filter
Mean   		3x3 Mean Filter
Median	   	3x3 Median Filter
Laplace   	3x3 Laplace Filter
Sobel		3x3 Sobel Filter (absolute gradient value)
Corner		3x3 Corner Filter

Erosion	    	3x3 Erosion
Dilation    	3x3 Dilation
Open	  	3x3 Erosion and then Dilation
Close		3x3 Dilation and the Erosion
Fill
Connected
Boundary
Skeleton

Noise		Generate Noise in target image (P1=degree of noise)
Grey stretch	Make use of all grey values
Grey reduce
Show (x,y)	Print grey value of pixel at (x=P1,y=P2)
Overlay		Copy all pixels of the original where source image pixels
		are black
Region (t)	Segementation (t=P1 as threshold)
Find Circles	Find small circles in source images



5. Links

IMPROV - Image Processing for Robot Vision
http://www.informatik.uni-stuttgart.de/ipvr/bv/improv
ftp://ftp.informatik.uni-stuttgart.de/pub/improv