Multicomputers and Image Processing
eBook - PDF

Multicomputers and Image Processing

Algorithms and Programs

  1. 490 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Multicomputers and Image Processing

Algorithms and Programs

About this book

Multicomputers and Image Processing: Algorithms and Programs is the second of a set presenting papers from the third meeting held in Madison, Wisconsin on May 27-30, 1981. The workshop explores the large and powerful multicomputer arrays and networks, with particular emphasis on the related aspects of developing algorithms and programs for multicomputer architectures. Separating 33 papers into chapters, this book reflects the three major aspects of the problem: user algorithms and programs; higher level languages; and multicomputer architectures. The first chapters present specific, larger structure, as well as whole program algorithms and their respective applications. Other chapters describe the important high-level programming of Fortran-based language for the massively parallel processors and the set-theory-based language for expressing the structural image processing and perceptual operations effected by Cytocomputer and other cellular-array-motivated architectures. The concluding chapters examine several major types of computer architectures that are being developed for large parallel-serial multicomputer systems. This book is of great value to computer programmers and scientists.

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Table of contents

  1. Front Cover
  2. Multicomputer and Image Processing: Algorithms and Programs
  3. Copyright Page
  4. Table of Contents
  5. Contributors
  6. Preface
  7. Chapter 1. INTRODUCTION: TOWARD VERY LARGE MULTI–COMPUTERS
  8. Chapter 2. PARALLEL ALGORITHMS FOR REAL–TIME IMAGE PROCESSING
  9. Chapter 3. IMAGE PROCESSING APPLICATIONS ENABLED BY MIMD PROCESSOR STRUCTURES
  10. Chapter 4. PICAP AND RELATIONAL NEIGHBORHOOD PROCESSING IN FIP
  11. Chapter 5. BASIC IMAGE PROCESSING ALGORITHMS ON THE MASSIVELY PARALLEL PROCESSOR
  12. Chapter 6. IMAGE CORRELATION: PROCESSING REQUIREMENTS AND IMPLEMENTATION STRUCTURES ON A FLEXIBLE IMAGE PROCESSING SYSTEM (FLIP)
  13. Chapter 7. A TYPICAL PROPAGATION ALGORITHM ON THE LINE-PROCFSSOR SY.MP.A.T.I . : THE REGION LABELLING
  14. Chapter 8. GEODESIC SEGMENTATION
  15. Chapter 9. A FAST ALGORITHM FOR PROCESSING SYNTHETIC APERTURE RADAR SIGNALS WITHOUT DATA TRANSPOSITION
  16. Chapter 10. CELLULAR LOGIC ALGORITHMS FOR GRAYLEVEL IMAGE PROCESSING
  17. Chapter 11. AN EXPERIMENTAL RULE-BASED SYSTEM FOR TESTING LOW LEVEL SEGMENTATION STRATEGIES1
  18. Chapter 12. THE BALANCE OF SPECIAL AND CONVENTIONAL COMPUTER ARCHITECTURE REQUIREMENTS IN AN IMAGE PROCESSING APPLICATION
  19. Chapter 13. CONE/PYRAMID PERCEPTION PROGRAMS FOR ARRAYS AND NETWORKS
  20. Chapter 14. PARALLEL ALGORITHMS FOR INTERPRETING SPEECH PATTERNS
  21. Chapter 15. COMPUTING OCCLUSION WITH LOCALLY CONNECTED NETWORKS OF PARALLEL PROCESSES
  22. Chapter 16. REFLECTIONS ON LOCAL COMPUTATIONS
  23. Chapter 17. PARALLELISM IN PICAP
  24. Chapter 18. PARALLEL ALGORITHM PERFORMANCE MEASURES
  25. Chapter 19. CELLULAR ARCHITECTURES: . FROM AUTOMATA TO HARDWARE1
  26. Chapter 20. PARALLEL ALGORITHMS AND THEIR INFLUENCE ON THE SPECIFICATION OF APPLICATION PROBLEMS
  27. Chapter 21. MPP ARCHITECTURE AND PROGRAMMING
  28. Chapter 22. PIPELINE ARCHITECTURES FOR IMAGE PROCESSING
  29. Chapter 23. MICRONET/MICROS - A Network Computer System for Distributed Applications
  30. Chapter 24. PUMPS: A SHARED-RESOURCE MULTIPROCESSOR ARCHITECTURE FOR PATTERN ANALYSIS AND IMAGE DATABASE MANAGEMENT*
  31. Chapter 25. REMOTE SENSING ON PASM AND CDC FLEXIBLE PROCESSORS
  32. Chapter 26. TEMPLATE–CONTROLLED IMAGE PROCESSOR (TIP) PROJECT
  33. Chapter 27. MEMORY STRUCTURES FOR AN IMAGE PROCESSING SYSTEM
  34. Chapter 28. MULTIMICROPROCESSOR SYSTEM PX–1 FOR PATTERN INFORMATION PROCESSING
  35. Chapter 29. A SYSTOLIC 2-D CONVOLUTION CHIP1
  36. Chapter 30. ADVANCES IN PROCESSOR ARCHITECTURE, DEVICE TECHNOLOGY, AND COMPUTER–AIDED DESIGN FOR BIOMEDICAL IMAGE PROCESSING
  37. Chapter 31. PYRAMID ALGORITHMS AND MACHINES
  38. Chapter 32. PROGRAMMING TECHNIQUES FOR HIERARCHICAL PARALLEL IMAGE PROCESSORS1
  39. Chapter 33. MULTI– COMPUTER PARALLEL ARCHITECTURES FOR SOLVING COMBINATORIAL PROBLEMS1
  40. Chapter 33. A VISUAL ANALYZER FOR REAL-TIME INTERPRETATION OF TIME-VARYING IMAGERY
  41. Index

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