Integrated fast implementation of mathematical morphology operations in image processing

K. I. Diamantaras, K. H. Zimmermann, S. Y. Kung

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

A systolic architecture for two basic mathematical morphology operations is presented. Mathematical morphology has been proven to be a very useful tool for applications such as image restoration, image skeletonization, pattern recognition, machine vision, etc. The advantages of the design stem from the fact that it has a pipeline period α = 1, requires simple communications, and exploits the simplicity of the morphological operations to make it possible to implement them in a linear target machine without using multiprojection, although the starting algorithm is a generalized two-dimensional convolution. The optimal partitioning strategy for a constrained mapping when the number of PEs is fixed is given, achieving 100% processor utilization, and a systolic chip design which is capable of real-time video performance is proposed as the basic processing element.

Original languageEnglish (US)
Pages (from-to)1442-1445
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume2
StatePublished - Dec 1 1990
Event1990 IEEE International Symposium on Circuits and Systems Part 3 (of 4) - New Orleans, LA, USA
Duration: May 1 1990May 3 1990

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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