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Green Image
Issue No. 01 - January (1982 vol. 4)
ISSN: 0162-8828
pp: 41-50
Jayaram K. Udupa , Medical Image Processing Group, Department of Computer Science, State University of New York at Buffalo, Amherst, NY 14226; Medical Image Processing Group, Department of Radiology,
Sargur N. Srihari , MEMBER, IEEE, Department of Computer Science, State University of New York at Buffalo, Amherst, NY 14226.
Gabor T. Herman , MEMBER, IEEE, Medical Image Processing Group, Department of Computer Science, State University of New York at Buffalo, Amherst, NY 14226; Medical Image Processing Group, Department
ABSTRACT
The development of image processing algorithms for time-varying imagery and computerized tomography data calls for generalization of the concepts of adjacency, connectivity, boundary, etc., to three and four-dimensional discrete spaces. This paper defines these basic concepts in unified terminology and presents algorithms for a boundary detection task in multidimensional space. The performance of these algorithms is discussed with respect to theoretical maximum complexity, and is illustrated with simulated computerized tomography data.
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CITATION

S. N. Srihari, J. K. Udupa and G. T. Herman, "Boundary Detection in Multidimensions," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 4, no. , pp. 41-50, 1982.
doi:10.1109/TPAMI.1982.4767193
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