Paper
30 April 1987 Parallel Algorithms For Real-Time Vision
Azriel Rosenfeld
Author Affiliations +
Abstract
Many types of image processing operations can be performed sequentially at frame rates, but many of the global operations needed in computer vision systems cannot be performed in real time unless suitable parallel hardware is available. This paper considers an important class of such operations, involving image segmentation by detection and extraction of global regions and features, and describes algorithms for carrying out these operations on parallel "pyramid" hardware.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Azriel Rosenfeld "Parallel Algorithms For Real-Time Vision", Proc. SPIE 0755, Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology, (30 April 1987); https://doi.org/10.1117/12.940007
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KEYWORDS
Image segmentation

Image processing

Detection and tracking algorithms

Feature extraction

Computing systems

Image processing algorithms and systems

Pattern recognition

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