Imaging and vision systems : theory, assessment and applications /
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| Imprint: | Huntington, N.Y. : Nova Science Publishers, c2001. |
|---|---|
| Description: | viii, 301 p. : ill. ; 26 cm. |
| Language: | English |
| Series: | Advances in computation : theory and practice ; v. 9 Advances in computation ; v. 9. |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/8964731 |
Table of Contents:
- Preface
- Advanced Image Processing Techniques
- Chapter 1. Joint Edge-Preserving and Moire-Suppressing Image Resampling Using the Discrete Gabor Transform
- Chapter 2. Scanned Multiresolution Imaging Using Binary Hadamard Masks
- Chapter 3. The Application of Markov Random Field Models to Wavelet-Based Image Denoising
- Chapter 4. Characteristic Interaction Structures in Gibbs Texture Modelling
- Chapter 5. Multifractal Multipermuted Multinomial Measures for Texture Characterization and Segmentation
- Performance Evaluation in Computer Vision
- Chapter 6. Performance Characterisation in Computer Vision: The Role of Statistics in Testing and Design
- Chapter 7. Quantitative Assessment of Image Filtering: Comparison of Objective Metrics
- Chapter 8. Progressive Image Coding for Improved Perceptual Quality and Recognition at Low Bit Rates
- Chapter 9. On the Masking Effects in a Perceptually Based Image Quality Metric
- Intelligent Vision Systems
- Chapter 10. Advanced Computer Vision and Graphics Collaboration Techniques for Image-Based Rendering
- Chapter 11. Adaptive Dynamic Scene Analysis
- Chapter 12. Assessment of Image Processing Algorithms as the Keystone of Autonomous Robot Control Architectures
- Chapter 13. Parameter Optimization for Visual Obstacle Detection Using a Derandomized Evolution Strategy
- Chapter 14. Obstacle Tracking in Registered Range and Reflectance Image Sequences Using Multivalued Template Matching
- Index
