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Proceedings Paper

Morphological processor for image applications and its implementation using GaAs technology
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Paper Abstract

Mathematical Morphology appears as a theory that can solve some drawbacks of the classical lineal image processing. Linear filters generate a spatial distortion from initial image, what gives as a result that specific algorithms are usually needed for each process with a complexity that can not be implemented in VLSI systems for Real Time Image Processing. Mathematical Morphology is an alternative method to overcome the inherent drawbacks of the linear processing based on the comparison of an initial image with some well known geometric figures. In this paper we present the implementation of a specific processor that computes Mathematical Morphology (MM) basic operations. Using a clock frequency of 250 MHz this processor is able to handle real time 512x512 pixels video images. Mathematical Morphology allows the nonlinear processing of images and it is based on Dilation and Erosion operations using a geometric figure called Structural Elements (SE). More complex image processing can be performed using these basic operations. In this implementation the structural element of 3x3 pixels was chosen. 0.6micrometers HgaAsIV standard cells technology, from Vitesse Semiconductor Corporation, has been used achieving a logic level gate description with the possibility of migration to another technologies.

Paper Details

Date Published: 21 November 2001
PDF: 10 pages
Proc. SPIE 4591, Electronics and Structures for MEMS II, (21 November 2001); doi: 10.1117/12.449138
Show Author Affiliations
Francisco Gonzalez, Univ. de Las Palmas de Gran Canaria (Spain)
Oscar Tubio, Univ. de Las Palmas de Gran Canaria (Spain)
Felix Tobajas, Univ. de Las Palmas de Gran Canaria (Spain)
Valentin de Armas, Univ. de Las Palmas de Gran Canaria (Spain)
Roberto Esper-Chain, Univ. de Las Palmas de Gran Canaria (Spain)
Roberto Sarmiento, Univ. de Las Palmas de Gran Canaria (Spain)

Published in SPIE Proceedings Vol. 4591:
Electronics and Structures for MEMS II
Neil W. Bergmann; Derek Abbott; Alex Hariz; Vijay K. Varadan, Editor(s)

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