- 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,