Parallel architectures and algorithms for image understanding
著者
書誌事項
Parallel architectures and algorithms for image understanding
Academic Press, c1991
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Over the past ten years, there has been significant progress in the use of parallel algorithms and architectures for image understanding. These advances have been made by vision researchers attempting to use parallel approaches to speed up their image understanding techniques, as well as by parallel processing researchers who have applied their techniques to generic problems in computational vision. This volume brings together the work of top researchers in computer vision and parallel processing. Topics covered include complexity issues in parallel approaches to vision, parallel architectures for vision, parallel algorithms for vision, experimental and commercial systems for vision, and the impact of emerging technologies, such as optics and electro-optics.
目次
- Part 1 Parallel architectures: VLSI architectures for template matching and block matching, C.Chakarabarti and J.Ja'Ja
- image computing using optical technology, M.Eshaghian et al
- an orthogonal multiprocessor for parallel image understanding and neural network simulation, K.Hwang
- medium grain parallel architecture for image processing, W.Przylula
- vista - vista for an image understanding architecture, M.Sunwoo and J.Agarwal. Part 2 Parallel algorithms: optimal image computations on reduced-processing parallel architectures, H.Alnuweiri and V.K.Prasanna-Kumar
- efficient parallel algorithms for intermediate-level image analysis on the reconfigurable mesh, R.Miller et al
- experiments in component labelling in a parallel computer, D.Parkinson
- image transformations on hypercube and mesh multicomputers, S.Ranka and S.Salini. Part 3 Implementations and applications: architecture and performance evaluation of NETRA, A.Choudhary et al
- geometric arithmetic parallel processor - architecture and implementation, E.Cloud
- the slap image computer, A.Fisher
- real time image understanding with the associative string processor, A.Krikelis
- a multiple level hetrogeneous architecture for image understanding, D.Shu and J.G.Nash. Part 4 Software environments: software computer vision environments for parallel computers, A.Reeves
- data parallelism - image understanding and the connection machine system, L.Tucker
- machine independent parallel image processing, J.Webb
- the image understanding architecture and its programming environment, C.Weems and J.Burril.
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