A Distributed Memory Architecture for Morphological Image Processing

  • Authors:

  • A. Durga Kishore;S. Srinivasan

  • Affiliations:

  • -;-

  • Venue:
  • ITCC '03 Proceedings of the International Conference on Information Technology: Computers and Communications
  • Year:
  • 2003

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Abstract

With the popularity of object based coding methods,mathematical morphology has become a populartechnique for image segmentation.Morphologicalfilters are used in a pre-processing step to improvethe chances of obtaining meaningful segmentationresults.However, the computational cost of thesefilters limits their practical use.With the increasingdemand for real time implementation, there is needfor reducing the processing time of the operations.Inthis paper, an efficient architecture is proposed forperforming morphological operations by utilizing theinherent pipelining that exists in these operations andthe inherent parallelism in the incoming data.It isdistributed memory architecture with four processingelements operating under the control of a masterprocessor.The details of the architecture along withthe simulation and synthesis results are provided.