SIP Toolbox
iradon - Inverse hough transform
Calling Sequence
- img = iradon(R [,theta, filter])
Input Parameters
-
R:
radon transform 2D array, in which each each column
represents one projection angle uniformly spaced between
0 and 180 degrees
-
theta:
scalar or vector. As a vector, it contains the uniformly
spaced angle interval corresponding to the columns of R. As a
scalar, it is DeltaTheta - just the sample space
between 0 and 180. If omitted or '[]',
it is treated as DeltaTheta equal to
180/size(R,'c')
-
filter:
string, used to disable the default Ram-Lak (ramp) filtering.
Can be 'Ram-Lak' or anything else for no filtering.
Output Parameters
Description
Function iradon reconstructs an image from the Radon transform.
Currently, it uses the "Back Projection" algorithm.
If theta is a scalar, it is
DeltaTheta, and R's angle interval is assumed to be
0:DelaTheta:180-DeltaTheta
Input parameters can be assigned in a "named" fashion, for instance:
I = iradon(R,filter='no').
Examples
Cf. help page for radon.
Authors
-
Leandro Farias Estrozi <estrozi (AT) vms DOT cnrs-gif DOT fr>
-
Ricardo Fabbri <ricardofabbri (AT) users DOT sf DOT net>
Bibliography
"The Radon Transform: Theory and Implementation", Peter Toft,
PhD Thesis, Technical University of Denmark, 1996:
http://pto.linux.dk/PhD/
A. C. Kak, and M. Slaney, "Principles of Computerized
Tomographic Imaging", IEEE Press
Availability
The latest version of the Scilab Image Processing toolbox can be found at
http://siptoolbox.sourceforge.net
See Also
radon, hough, ihough,