A Hybrid SIMD/MIMD Architecture For Image Understanding

Kai Hwang; V K. Prasanna Kumar; Dongseung Kim; Hussein M. Alnuweiri

doi:10.1117/12.951662

17 May 1989 A Hybrid SIMD/MIMD Architecture For Image Understanding

Kai Hwang, V K. Prasanna Kumar, Dongseung Kim, Hussein M. Alnuweiri

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

Abstract

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.

Citation Download Citation

Kai Hwang, V K. Prasanna Kumar, Dongseung Kim, and Hussein M. Alnuweiri "A Hybrid SIMD/MIMD Architecture For Image Understanding", Proc. SPIE 1058, High Speed Computing II, (17 May 1989); https://doi.org/10.1117/12.951662

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