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Updated: May 29, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
Published on: December 15, 2023
Boundary detection in multidimensions
J K Udupa1, S N Srihari, G T Herman
1Medical Image Processing Group, Department of Computer Science, State University of New York at Buffalo, Amherst, NY 14226; Medical Image Processing Group, Department of Radiology.
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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