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References

1
R.M. Haralick. Performance characterization in image analysis: Thinning, a case in point. Pattern Recognition Letters, 13:5--12, 1992.

2
P. Kumar, D. Bhatnagar, and P.S. Umapathi Rao. Pseudo one pass thinning algorithm. Pattern Recognition Letters, 12:543--555, 1991.

3
O. Monga, R. Deriche, G. Malandain, and J.P. Cocquerez. Recursive filtering and edge tracking: Two primary tools for 3D edge detection. Image and Vision Computing, 9(4):203--214, 1991.

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J.A. Noble. Descriptions of Image Surfaces. D.Phil. thesis, Robotics Research Group, Department of Engineering Science, Oxford University, 1989.

5
M. Otte and H.-H. Nagel. Extraction of line drawings from gray value images by non-local analysis of edge element structures. In Proc. 2nd European Conf. on Computer Vision, pages 687--695. Springer-Verlag, 1992.

6
S. Pal. Some Low Level Image Segmentation Methods, Algorithms and their Analysis. PhD thesis, Indian Institute of Technology, 1991.

7
S.M. Smith. Feature Based Image Sequence Understanding. D.Phil. thesis, Robotics Research Group, Department of Engineering Science, Oxford University, 1992.

8
S.M. Smith. SUSAN -- a new approach to low level image processing. Internal Technical Report TR95SMS1, Defence Research Agency, Chobham Lane, Chertsey, Surrey, UK, 1995. Available at www.fmrib.ox.ac.uk/~steve for downloading.

9
S.M. Smith and J.M. Brady. SUSAN - a new approach to low level image processing. Int. Journal of Computer Vision, 23(1):45--78, May 1997.



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