Multi-scale active shape description
A multi-scale shape description tool based on active contour models has been developed, allowing to regularize and describe shape changes across scales. The internal energy of this spline-based model depends on analytic shape forces, and the external energy incorporates geometric image features like the image gradient and isophote curvature. Results of applying this technique to artificial images with known shapes are presented, and the application to medical imaging in clinical neurology is discussed.
KeywordsShape analysis multi-scale shape stack active contour models
Unable to display preview. Download preview PDF.
- 1.B.M. ter Haar Romeny, editor. Geometry-Driven Diffusion in Computer Vision, Computational Imaging and Vision. Kluwer Academic Publishers, 1994.Google Scholar
- 2.M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active contour models. In Proc. of the 1st International Conference of Computer Vision, London, England, pages 259–268. IEEE, 1987.Google Scholar
- 3.J.A. Schnabel and S.R. Arridge. Active contour models for shape description using multi-scale differential invariants. In D. Pycock, editor, British Machine Vision Conference 1995, volume 1, pages 197–206, 1995.Google Scholar
- 4.B.M. ter Haar Romeny, L.M.J. Florack, J. J. Koenderink, and M. A. Viergever. Scale-space: Its natural operators and differential invariants. In A.C.F. Colchester and D.J. Hawkes, editors, Information Processing in Medical Imaging, volume 511 of Lecture Notes in Computer Science, pages 239–255. Springer-Verlag, 1991.Google Scholar
- 5.D.J. Williams and M. Shah. A fast algorithm for active contours and curvature estimation. CVGIP:Image Understanding, 55(1):14–26, 1992.Google Scholar