Pictorial Data Analysis

1. Front Matter

   Pages I-VIII

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2. Neighborhood Operators: An Outlook

   • S. Levialdi

   Pages 1-14

3. Linear Approximation of Quantized Thin Lines

   • S. H. Y. Hung, T. Kasvand

   Pages 15-28

4. Quadtrees and Pyramids: Hierarchical Representation of Images

   • A. Rosenfeld

   Pages 29-42

5. Fast In-Place Processing of Pictorial Data

   • W. Besslich

   Pages 43-68

6. C-Matrix, C-Filter: Applications to Human Chromosomes

   • A. Gisolfi, S. Vitulano

   Pages 69-85

7. The Application of Gödel Numbers to Image Analysis and Pattern Recognition

   • K. O’Mara, W. Gillespie, T. Fancott, J. P. J. de Valk, H. F. P. v.d. Boogaard

   Pages 87-106

8. Segmentation of Digital Images Using a Priori Information about the Expected Image Contents

   • Walter Kropatsch

   Pages 107-132

9. A Syntactic-Semantic Approach to Pictorial Pattern Analysis

   • K. S. Fu

   Pages 133-146

10. Relational Matching

    • J. R. Ullmann

    Pages 147-170

11. Representation and Control in Vision

    • Takeo Kanade

    Pages 171-197

12. Computer Vision Systems: Past, Present, and Future

    • Linda G. Shapiro

    Pages 199-237

13. Artificial Intelligence

    • Pierpaolo Degano

    Pages 239-264

14. Automation of Pap Smear Analysis: A Review and Status Report

    • David J. Zahniser

    Pages 265-294

15. Medical Image Processing

    • Andrew Todd-Pokropek

    Pages 295-320

16. 2-D Fitting and Interpolation Applied to Image Distortion Analysis

    • Y. Bizais, I. G. Zubal, R. W. Rowe, G. W. Bennett, A. B. Brill

    Pages 321-333

17. Pictorial Pattern Recognition for Industrial Inspection

    • K. S. Fu

    Pages 335-349

18. Pattern Recognition of Remotely Sensed Data

    • Robert M. Haralick

    Pages 351-367

19. Satellite Image Understanding Through Synthetic Images

    • Ezio Catanzariti

    Pages 369-383

20. A Diffusion Model to Correct Multi-Spectral Images for the Path-Radiance Atmospheric Effect

    • Jorge Lira, Alicia Oliver

    Pages 385-403

This volume is the collection of lectures and presentations of the NATO AS! On Pictorial Data Analysis, held August 1-12, 1982 in the beautiful chateau de Bonas, Bonas France. The director of the AS! was Robert M. Haralick and the Co-director was Stefano Levialdi. The papers in the book are arranged in two sections first theory and general prinicples and then applications. Local computations play a central role in image processing both when a traditional computer is used and when parallel machines are used for improving image throughput. Levialdi reviews such neighborhood operators. Hung and Kasvand discuss a line thinning application which involves detection of critical points on chain encoded data. Most low level image processing has been done using the digital raster as the basic data structure. Within the last few years many of these basic algorithms have been developed for the quadtree data structure. The quadtree permits easier access to certain kinds of spatial adjacency relationships in a variable resolution context. Rosenfeld reviews the properties of these representations and their uses in image segmentation and property measurement. Besslich discusses an expanded form of an invertible quadtree representation which permits a multiprocessor execution. Gisolfi and Vitulano discuss the C-matrix and C-filtering technique for image and texture feature extraction. O'mara et.al. discuss the application of Codel numbers to image feature extraction. Kropatsch discusses an image segmentation technique which permits the effective use of a variety of different kinds of segmentation techniques.

• Bildverarbeitung
• Diffusion
• Microsoft Access
• Volume
• algorithms
• artificial intelligence
• computer vision
• data structure
• filtering
• image analysis
• image processing
• interpolation
• pattern recognition
• presentation
• proving

• Electrical Engineering and Computer Science Departments, Virginia Polytechnic Institute and State University Spatial Data Analysis Lab., Blacksburg, USA

  Robert M. Haralick

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