Thirty Years of Parallel Image Processing
Identifieur interne : 001A71 ( Main/Exploration ); précédent : 001A70; suivant : 001A72Thirty Years of Parallel Image Processing
Auteurs : B. Duff [Royaume-Uni]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2001.
Abstract
Abstract: The history of the development of parallel computation methodology is closely linked with the development of techniques for the computer processing of images. In the early 60s, research in high energy particle physics began to generate extremely large numbers of particle track photographs to be analysed and attempts were made to devise automatic or semiautomatic systems to carry out the analysis. This stimulated the search for ways to build computers of increasingly higher performance since the size of the image data sets exceeded any which had previously been processed. At the same time, interest was growing in exploring the structure of the human visual system and it was felt intuitively that image processing computation should bear at least some resemblance to its human analogue. This review paper traces the simultaneous progress in these two related lines of research and discusses how their interaction influenced the design of many parallel processing computers and their associated algorithms.
Url:
DOI: 10.1007/3-540-44942-6_35
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: The history of the development of parallel computation methodology is closely linked with the development of techniques for the computer processing of images. In the early 60s, research in high energy particle physics began to generate extremely large numbers of particle track photographs to be analysed and attempts were made to devise automatic or semiautomatic systems to carry out the analysis. This stimulated the search for ways to build computers of increasingly higher performance since the size of the image data sets exceeded any which had previously been processed. At the same time, interest was growing in exploring the structure of the human visual system and it was felt intuitively that image processing computation should bear at least some resemblance to its human analogue. This review paper traces the simultaneous progress in these two related lines of research and discusses how their interaction influenced the design of many parallel processing computers and their associated algorithms.</div>
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