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Image Segmentation with Topological Maps and Interpixel Representation”, Journal of Visual Communication and Image Representation, vol. 9(1) (1998) 62–79 5. , “Un code pour les graphes planaires et ses applications2, Ast´erisque, vol. 27, Soci´et´e de Math´ematiques de France, Paris, 1975 6. , “Three-Dimensional Computer Vision, A Geometric Viewpoint”, The MIT Press, Cambridge, Massachusetts, (1999), 663 pages 7. , “Reliability Analysis of Parameter Estimation in Linear Models with Application to the Mensuration Problems in Computer Vision”, Computer Vision, Graphics and Image Processing, vol.
Pudil, and H. Freeman, editors, Advances in Pattern Recognition, Joint IAPR International Workshops SSPR’98 and SPR’98, volume Vol. 1451 of Lecture Notes in Computer Science, pages 149–158, Sydney, Australia, August 1998. Springer, Berlin Heidelberg, New York. 15. W. G. Kropatsch and H. Macho. Finding the structure of connected components using dual irregular pyramids. In Cinqui`eme Colloque DGCI, pages 147–158. LLAIC1, Universit´e d’Auvergne, ISBN 2-87663-040-0, September 1995. 16. C. Mathieu, I.
In Table 2 are shown reduction factors for vertices (|Vk |/|Vk+1 |) and edges (|Ek |/|Ek+1 |). We average these values on the whole data set (µ-mean and σ-standard deviation). The degree of the vertex is of importance because it is directly related to the memory costs for the graph’s representation [9]. 2. A full documentation of the experiments can be found in the technical report [8]. 3 Experiments with MIS The number of levels needed to reduce the graph at the base level (level 0) to an apex (top of the pyramid) are given in Figure 3(a),(b).