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Results: 77
Number of items: 77
  • van den Boomgaard, R., Engbers, E. A., & Smeulders, A. W. M. (2000). Decomposition of separable concave structuring functions. In J. Goutsias, & L. Vincent (Eds.), Proceedings of the International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing (pp. 23-32). Kluwer.
  • Stijnman, G., & van den Boomgaard, R. (2000). Background estimation in video sequences. (ISIS Techn. Rep.; No. Rep. 10). Informatics Institute.
  • van den Boomgaard, R., & Heijmans, H. J. A. M. (2000). Morphological scale-space operators: An algebraic framework. In J. Goutsias, & L. Vincent (Eds.), Proceedings of the International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing (pp. 283-290). Kluwer.
  • Dorst, L., & van den Boomgaard, R. (2000). The systems theory of contact. In G. Sommer, & Y. Y. Zeevi (Eds.), Algebraic Frames for the Perception-Action Cycle, Lecture Notes in Computer Science volnr. 1888 (pp. 22-47). Springer Verlag GmbH.
  • Geusebroek, J. M., van den Boomgaard, R., Smeulders, A. W. M., & Gevers, T. (2000). A Physical Basis for Color Constancy. (Isis Tech. Rep.; No. 19). Informatics Institute.
  • Nguyen, H. T., Worring, M., & van den Boomgaard, R. (2000). Watersnakes: energy driven watershed segmentation. (Isis Tech. Rep.; No. 12). Informatics Institute.
  • Geusebroek, J. M., Smeulders, A. W. M., & van den Boomgaard, R. (2000). Measurement of Color Invariants. In CVPR 00 (pp. 50-57). IEEE Computer Society Press.
  • Heijmans, H. J. A. M., & van den Boomgaard, R. (2000). Algebraic framework for linear and morphological scale-spaces. (CWI Technical Report; No. PNA-R0003). CWI.
  • Dorst, L., & van den Boomgaard, R. (2000). The Support Cone: a representational tool for the analysis of boundaries and their interactions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(2), 174-178. https://doi.org/10.1109/34.825755
  • d' Ornellas, M. C., & van den Boomgaard, R. (2000). Multi-scale gradient approach for color-based morphological segmentation. In J. Goutsias, & L. Vincent (Eds.), Proceedings of the International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing
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