Image Processing On Reconfigurable Meshes With Buses

Jing Fu Jenq; Sartaj Sahni

doi:10.1016/B978-0-444-81704-4.50010-7

Image Processing On Reconfigurable Meshes With Buses

Jing Fu Jenq, Sartaj Sahni

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this chapter, we describe different reconfigurable mesh with buses architectures and show how several image processing problems can be solved efficiently on the weakest of these. The specific problems considered are: area and perimeter of components, shrinking and expanding, clustering, and template matching. In many cases, the resulting algorithms are faster than those for other parallel computer architectures.

Original language	English
Title of host publication	Machine Intelligence and Pattern Recognition
Pages	67-91
Number of pages	25
Edition	C
DOIs	https://doi.org/10.1016/B978-0-444-81704-4.50010-7
State	Published - 1 Jan 1994

Publication series

Name	Machine Intelligence and Pattern Recognition
Number	C
Volume	14
ISSN (Print)	0923-0459

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10.1016/B978-0-444-81704-4.50010-7

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abstract = "In this chapter, we describe different reconfigurable mesh with buses architectures and show how several image processing problems can be solved efficiently on the weakest of these. The specific problems considered are: area and perimeter of components, shrinking and expanding, clustering, and template matching. In many cases, the resulting algorithms are faster than those for other parallel computer architectures.",

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ER -

Image Processing On Reconfigurable Meshes With Buses

Abstract

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