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References

1.
Ballard D.H, Brown C.M, Computer Vision, Prentice-Hall Inc., 1982, pp. 123-126.

2.
Gonzalez R.C, WIntz P, Digital Image Processing, 2nd ed., pp. 130-4.
3.
Young D, Hough Transforms web tutorial, Sussex University, 1994. url:

Phttp://www.cogs.susx.ac.uk/users/davidy/teachvision/vision4.html

4.
Immerkaer J, Deblur, Enhancement, and Edge-Preserving Noise Smoothing, 1995. url:

http://www.mip.sdu.dk/ jimm/ipcv/deblurenhance.html

5.
Basic Image Processing Demos, url:

http://robotics.eecs.berkeley.edu/ mayi/imgproc/

6.
Hough Transform MATLAB function, 1995. url:

http://v2.math.tau.ac.il/matlab/hough.html

7.
Mochary R, Shteiman M, Computer Vision Course: Hough Transform, 1998. url:

http://www.cs.technion.ac.il/ aer/Vision/Hough/hough.html

8.
McLaughlin R A, Technical Report - Randomised Hough Transform: Improved Ellipse Detection with Comparison, 1997. url:

http://ciips.ee.uwa.edu.au/Papers/Technical_Reports/1997/01/Index.html

9.
Information of our earlier work with convolution methods can be found at

http://www.vislab.usyd.edu.au/sc3/smanos/noise.html and,



vicky safouris
2000-06-02