Nonlinear image processing
This state-of-the-art book deals with the most important aspects of non-linear imaging challenges. The need for engineering and mathematical methods is essential for defining non-linear effects involved in such areas as computer vision, optical imaging, computer pattern recognition, and industrial a...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
San Diego, CA :
Academic Press
c2001.
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| Edición: | 1st edition |
| Colección: | Academic Press series in communications, networking and multimedia.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627162206719 |
Tabla de Contenidos:
- Front Cover; Nonlinear Image Processing; Copyright Page; Contents; Preface; Chapter 1. Analysis and Optimization of Weighted Order Statistic and Stack Filters; 1.1 Introduction; 1.2 Median and Order Statistic Filters; 1.3 Stack Filters; 1.4 Image Processing Applications; 1.5 Summary; Chapter 2. Image Enhancement and Analysis with Weighted Medians; 2.1 Introduction; 2.2 Weighted Median Smoothers and Filters; 2.3 Image Denoising; 2.4 Image Zooming; 2.5 Image Sharpening; 2.6 Optimal Frequency Selection WM Filtering; 2.7 Edge Detection; 2.8 Conclusion
- Chapter 3. Spatial-Rank Order Selection Filters3.1 Introduction; 3.2 Selection Filters and Spatial-Rank Ordering; 3.3 Spatial-Rank Order Selection Filters; 3.4 Optimization; 3.5 Applications; 3.6 Future Directions; Chapter 4. Signal-Dependent Rank-Ordered-Mean (SD-ROM) Filter; 4.1 Introduction; 4.2 Impulse Noise Model; 4.3 Definitions; 4.4 The SD-ROM Filter; 4.5 Generalized SD-ROM Method; 4.6 Experimental Results; 4.7 Restoration of Images Corrupted by Streaks; 4.8 Concluding Remarks; Chapter 5. Nonlinear Mean Filters and Their Applications in Image Filtering and Edge Detection
- 5.1 Introduction5.2 Nonlinear Mean Filters; 5.3 Signal-Dependent Noise Filtering by Nonlinear Means; 5.4 Edge Detectors Based on Nonlinear Means; 5.5 Grayscale Morphology Using £p Mean Filters; 5.6 Ultrasonic Image Processing Using £2 Mean Filters; 5.7 Sorting Networks Using £p Mean Comparators; 5.8 Edge Preserving Filtering by Combining Nonlinear Means and Order Statistics; 5.9 Summary; Chapter 6. Two-Dimensional Teager Filters; 6.1 Introduction; 6.2 Discrete Volterra Series and Properties; 6.3 Interpretation of Frequency Responses; 6.4 The Teager Algorithm and One-Dimensional Extensions
- 6.5 Spectrum of the Output Signal6.6 Mean-Weighted Highpass Filters; 6.7 Least-Squares Design of Edge Extracting Filters; 6.8 Summary; 6.9 Appendix; Chapter 7. Polynomial and Rational Operators for Image Processing and Analysis; 7.1 Introduction; 7.2 Theoretical Survey of Polynomial and Rational Filters; 7.3 Applications of Polynomial Filters; 7.4 Applications of Rational Filters; 7.5 Conclusions and Remaining Issues; Chapter 8. Nonlinear Partial Differential Equations in Image Processing; 8.1 Introduction; 8.2 Segmentation of Scalar and Multivalued Images
- 8.3 Nonlinear PDEs in General Manifolds: Harmonic Maps and Direction DiffusionChapter 9. Region-Based Filtering of Images and Video Sequences: A Morphological Viewpoint; 9.1 Introduction; 9.2 Classical Filtering Approaches; 9.3 Connected Operators; 9.4 Connected Operators Based on Reconstruction Processes; 9.5 Connected Operators Based on Region-Tree Pruning; 9.6 Conclusions; Chapter 10. Differential Morphology; 10.1 Introduction; 10.2 2D Morphological Systems and Slope Transforms; 10.3 PDEs for Morphological Image Analysis; 10.4 Curve Evolution; 10.5 Distance Transforms
- 10.6 Eikonal PDE and Distance Propagation
