Data-parallel algorithms for image computing

Mark J. Carlotto

doi:10.1117/12.21425

1 November 1990 Data-parallel algorithms for image computing

Mark J. Carlotto

Author Affiliations +

Proceedings Volume 1301, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences; (1990) https://doi.org/10.1117/12.21425
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

Data-parallel algorithms for image computing on the Connection Machine are described. After a brief review of some basic programming concepts in *Lip, a parallel extension of Common Lisp, data-parallel programming paradigms based on a local (diffusion-like) model of computation, the scan model of computation, a general interprocessor communications model, and a region-based model are introduced. Algorithms for connected component labeling, distance transformation, Voronoi diagrams, finding minimum cost paths, local means, shape-from-shading, hidden surface calculations, affine transformation, oblique parallel projection, and spatial operations over regions are presented. An new algorithm for interpolating irregularly spaced data via Voronoi diagrams is also described.

Citation Download Citation

Mark J. Carlotto "Data-parallel algorithms for image computing", Proc. SPIE 1301, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences, (1 November 1990); https://doi.org/10.1117/12.21425

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