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Boundary Detection in Multidimensions

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3 Author(s)
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, University of Pennsylvania, Philadelphia, PA 19104. ; Sargur N. Srihari ; Gabor T. Herman

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.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-4 ,  Issue: 1 )