Max Video Neighborhood Processor Pipeline (MVNPP)

Abstract

This manual describes the functional capabilities and programming of ERIM's Max Video Neighborhood Processor Pipeline (MVNPP) board. It is intended for the user who wishes to understand the MVNPP's purpose and functionality, and the system programmer who must have detailed information on control registers and operation in order to operate the MVNPP effectively. The manual is organized into four chapters and an appendix. In Chapter I, a high-level description of the MVNPP functions is given. Chapter II is devoted to describing the status and control registers that constitute the software interface to the MVNPP. In Chapter III, programming examples of common system functions are presented. Chapter IV details how to configure the MVNPP for inclusion in different image processing environments. Appendix A details differences between multiple versions of the MVNPP, which affect the operation or programming. This manual describes only MVNPP board operation and programming. For details of programming the Cyto-HSS stages, see the Cyto-HSS Stage Programmer's Manual (ERIM document number IPTL-89-294). Programming of a complete system including the MVNPP board will be broadly discussed, but for detailed information concerning programming of other boards please see the appropriate board programming manual.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1990
Accession Number
ADA224953

Entities

People

  • Robert J. Horner

Organizations

  • Environmental Research Institute of Michigan

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Assembly Languages
  • Cables
  • Computer Programming
  • Connectors
  • Data Transmission
  • Image Processing
  • Manuals
  • Network Topology
  • Parallel Computing
  • Parallel Processing
  • Pipelines
  • Production
  • Programming Manuals
  • Rotary Switches
  • Sequences
  • Specifications
  • Standards

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Educational Psychology
  • Software Engineering.