Implementation of low level image processing algorithms on a reconfigurable perception system

M. Meribout, K. M. Hou

Research output: Contribution to conferencePaperpeer-review

7 Scopus citations

Abstract

The development of VLSI technology allows an increase of the computing power of intelligent machines treating complex applications with a low cost. However, in spite of the success which has been achieved in many specific areas, vision problems are often ill defined, ill posed or computationally intractable[1]. This constraints the designers to limit the domain of applications for applying adequate computer power which can be inefficient if more powerful algorithms against new constraints come into view. In this paper, we present a low cost perception system that performs a number of algorithms, such as a real time edge detection and motion estimation and high speed image compression. The main robustness features of the system is its flexibility, reconfigurability, extensibility and modularity, making it easily fitted to a large field of applications. The design is based on the needs of every level of image processing in communication, power computing, input data flow and storage features.

Original languageBritish English
Pages304-312
Number of pages9
StatePublished - 1995
EventProceedings of the Conference on Computer Architectures for Machine Perception, CAMP'95. - Como, Italy
Duration: 18 Sep 199520 Sep 1995

Conference

ConferenceProceedings of the Conference on Computer Architectures for Machine Perception, CAMP'95.
CityComo, Italy
Period18/09/9520/09/95

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