| Description |
1 online resource |
| Series |
ISTE |
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Digital signal and image processing series |
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Digital signal and image processing series.
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|
ISTE
|
| Contents |
Cover; Title Page; Copyright Page; Table of Contents; Foreword; Chapter 1. Color Representation and Processing in Polar Color Spaces; 1.1. Introduction; 1.1.1. Notations used in this chapter; 1.2. The HSI triplet; 1.2.1. Intuitive approach: basic concepts and state of the art; 1.2.2. Geometric approach: calculation of polar coordinates; 1.3. Processing of hue: a variable on the unit circle; 1.3.1. Can hue be represented as a scalar?; 1.3.2. Ordering based on distance from a reference hue; 1.3.3. Ordering with multiple references; 1.3.4. Determination of reference hues |
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1.4. Color morphological filtering in the HSI space1.4.1. Chromatic and achromatic top-hat transforms; 1.4.2. Full ordering using lexicographical cascades; 1.5. Morphological color segmentation in the HSI space; 1.5.1. Color distances and segmentation by connective criteria; 1.5.2. Color gradients and watershed segmentation; 1.6. Conclusion; 1.7. Bibliography; Chapter 2. Adaptive Median Color Filtering; 2.1. Introduction; 2.2. Noise; 2.2.1. Sources of noise; 2.2.2. Noise modeling; 2.3. Nonlinear filtering; 2.3.1. Vector methods; 2.3.2. Median filter using bit mixing |
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2.4. Median filter: methods derived from vector methods2.4.1. Vector filtering; 2.4.2. Switching vector and peer group filters; 2.4.3. Hybrid switching vector filter; 2.4.4. Fuzzy filters; 2.5. Adaptive filters; 2.5.1. Spatially adaptive filter: generic method; 2.5.2. Spatially adaptive median filter; 2.6. Performance comparison; 2.6.1. FSVF; 2.6.2. FRF; 2.6.3. PGF and FMPGF; 2.6.4. IPGSVF; 2.6.5. Vector filters and spatially adaptive median filter; 2.7. Conclusion; 2.8. Bibliography; Chapter 3. Anisotropic Diffusion PDEs for Regularization of Multichannel Images: Formalisms and Applications |
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3.1. Introduction3.2. Preliminary concepts; 3.3. Local geometry in multi-channel images; 3.3.1. Which geometric characteristics?; 3.3.2. Geometry estimated using a scalar characteristic; 3.3.3. Di Zenzo multi-valued geometry; 3.4. PDEs for multi-channel image smoothing: overview; 3.4.1. Variational methods; 3.4.2. Divergence PDEs; 3.4.3. Oriented Laplacian PDEs; 3.4.4. Trace PDEs; 3.5. Regularization and curvature preservation; 3.5.1. Single smoothing direction; 3.5.2. Analogy with line integral convolutions; 3.5.3. Extension to multi-directional smoothing; 3.6. Numerical implementation |
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3.7. Some applications3.8. Conclusion; 3.9. Bibliography; Chapter 4. Linear Prediction in Spaces with Separate Achromatic and Chromatic Information; 4.1. Introduction; 4.2. Complex vector 2D linear prediction; 4.3. Spectral analysis in the IHLS and L*a*b* color spaces; 4.3.1. Comparison of PSD estimation methods; 4.3.2. Study of inter-channel interference associated with color space changing transformations; 4.4. Application to segmentation of textured color images; 4.4.1. Prediction error distribution; 4.4.2. Label field estimation; 4.4.3. Experiments and results; 4.5. Conclusion |
| Summary |
This collective work identifies the latest developments in the field of the automatic processing and analysis of digital color images. For researchers and students, it represents a critical state of the art on the scientific issues raised by the various steps constituting the chain of color image processing. It covers a wide range of topics related to computational color imaging, including color filtering and segmentation, color texture characterization, color invariant for object recognition, color and motion analysis, as well as color image and video indexing and retrieval |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Color -- Mathematics -- Research
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Image processing -- Mathematics -- Research
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Color vision -- Research
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SCIENCE -- Physics -- Optics & Light.
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Color vision -- Research
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| Form |
Electronic book
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| Author |
Fernández-Maloigne, Christine.
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Robert-Inacio, Frédérique.
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Macaire, Ludovic.
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| ISBN |
9781118614341 |
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1118614348 |
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