Inverse hough transform

img = iradon(R [,theta, filter])

- 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.

- im
- reconstructed image

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')`

.

Cf. help page for <a href="radon.html" class="link">radon</a>. |

- Leandro Farias Estrozi <estrozi (AT) vms DOT cnrs-gif DOT fr>
- Ricardo Fabbri <ricardofabbri (AT) users DOT sf DOT net>

"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

http://siptoolbox.sourceforge.net