17 May 1989 A Hybrid SIMD/MIMD Architecture For Image Understanding
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Proceedings Volume 1058, High Speed Computing II; (1989) https://doi.org/10.1117/12.951662
Event: OE/LASE '89, 1989, Los Angeles, CA, United States
This paper presents an integrated parallel architecture for image analysis and computer vision. The architecture consists of an SIMD array processor with multiple broadcast busses, an MIMD multiprocessor with orthogonal access busses, and a two-dimensional memory array shared by both processor systems. Low-level image processing is performed on the SIMD array, while interme-diate and high-level image analysis is performed on the multiprocessor system. The interaction between the two levels is supported by a common shared memory. To illustrate the power of such a two-level system we show that a wide class of image and vision analysis tasks can be performed efficiently on the architecture. Representative problems include transitive closure, histogramming image component labeling, pyramid computation, Hough transform, pattern clustering, and scene labeling.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kai Hwang, V K. Prasanna Kumar, Dongseung Kim, Hussein M. Alnuweiri, "A Hybrid SIMD/MIMD Architecture For Image Understanding", Proc. SPIE 1058, High Speed Computing II, (17 May 1989); doi: 10.1117/12.951662; https://doi.org/10.1117/12.951662


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