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Multiresolution Image Processing and Analysis

  • Book
  • © 1984

Overview

Editors:
  1. Azriel Rosenfeld

    1. Center for Automation Research, University of Maryland, College Park, USA

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Part of the book series: Springer Series in Information Sciences (SSINF, volume 12)

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Table of contents (22 chapters)

  1. Front Matter

    Pages I-VIII
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  2. Image Pyramids and Their Uses

    1. Front Matter

      Pages 1-1
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    2. Some Useful Properties of Pyramids

      • A. Rosenfeld
      Pages 2-5

    3. The Pyramid as a Structure for Efficient Computation

      • P. J. Burt
      Pages 6-35

  4. Modelling, Processing, and Segmentation

    1. Front Matter

      Pages 101-101
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    2. Time Series Models for Multiresolution Images

      • R. Chellappa
      Pages 102-108

    3. Node Linking Strategies in Pyramids for Image Segmentation

      • J. Cibulskis, C. R. Dyer
      Pages 109-120

    4. Multilevel Image Reconstruction

      • G. T. Herman, H. Levkowitz, H. K. Tuy, S. McCormick
      Pages 121-135

    5. Sorting, Histogramming, and Other Statistical Operations on a Pyramid Machine

      • S. L. Tanimoto
      Pages 136-145

  5. Features and Shape Analysis

    1. Front Matter

      Pages 147-147
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    2. A Hierarchical Image Analysis System Based Upon Oriented Zero Crossings of Bandpassed Images

      • J. J. Clark, P. D. Lawrence
      Pages 148-168

    3. A Multiresolution Representation for Shape

      • J. L. Crowley
      Pages 169-189

    4. Multiresolution Feature Encodings

      • M. Shneier
      Pages 190-199

    5. Multiple-Size Operators and Optimal Curve Finding

      • S. W. Zucker, P. Parent
      Pages 200-210

  6. Region Representation and Surface Interpolation

    1. Front Matter

      Pages 211-211
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Keywords

About this book

This book results from a Workshop on Multiresolution Image Processing and Analysis, held in Leesburg, VA on July 19-21, 1982. It contains updated ver­ sions of most of the papers that were presented at the Workshop, as well as new material added by the authors. Four of the presented papers were not available for inclusion in the book: D. Sabbah, A computing with connections approach to visual recognition; R. M. Haralick, Fitting the gray tone intensity surface as a function of neighborhood size; E. M. Riseman, Hierarchical boundary formation; and W. L. Mahaffey, L. S. Davis, and J. K. Aggarwal, Region correspondence in multi-resolution images taken from dynamic scenes. The number and variety of papers indicates the timeliness of the H0rkshop. Multiresolution methods are rapidly gaining recognition as an important theme in image processing and analysis. I would like to express my thanks to the National Science Foundation for their support of the Workshop under Grant MCS-82-05942; to Barbara Hope for organizing and administering the Workshop; to Janet Salzman and Fran Cohen, for retyping the papers; and above all, to the speakers and other partici­ pants, for making the Workshop possible.

Editors and Affiliations

  • Center for Automation Research, University of Maryland, College Park, USA

    Azriel Rosenfeld

Bibliographic Information

  • Book Title: Multiresolution Image Processing and Analysis

  • Editors: Azriel Rosenfeld

  • Series Title: Springer Series in Information Sciences

  • DOI: https://doi.org/10.1007/978-3-642-51590-3

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1984

  • Softcover ISBN: 978-3-642-51592-7Published: 05 June 2012

  • eBook ISBN: 978-3-642-51590-3Published: 09 March 2013

  • Series ISSN: 0720-678X

  • Edition Number: 1

  • Number of Pages: VIII, 388

  • Number of Illustrations: 299 b/w illustrations

  • Topics: Image Processing and Computer Vision

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