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1 Vision of colors
1.1 Physiologie of the human visual system
1.2 Visual sensibility to distances between colors
1.3 The visual trivariance
1.4 The different primary systems
1.5 Colorimetry
1.6 Perception of colors
1.7 The appearance of color
1.8 Color consistency, color invariants, scene analysis
1.9 Image quality measurement
2 Numerical encoding of color images
2.1 The primary systems
2.2 The luminosity-chromaticity systems
2.3 The perceptual systems
2.4 The independent axis systems
2.5 Thehybrid systems
2.6 Adaptative discretization of color spaces
3 The systems for acquiring color images and managing colors
3.1 Systems to acquire multi-spectral images
3.2 Calibration of color images
3.3 The managing of colors, the ICC profiles
4 Pre-processing of color images
4.1 Marginal Filtering
4.2 Vectorial filtering
4.3 Filtering based on an order relationship
4.4 Filters to reinforce contrast of color images
4.5 Anisotropic filters
4.6 Hierarchical encoding : decimation and sampling
5 Segmentation of color images
5.1 Contour based segmentation of color images
5.2 Region based segmentation of color images
5.3 Cooperation regions and contour based segmentation methods
5.4 Pixel based classification methods
6 Analysis and Indexation
6.1 Color histograms
6.2 Space/frequency representations
6.3 Representations of multi-dimensional data sets
6.4 Color attributes
6.5 Index and signatures
6.6 Color and texture
6.7 Indice of similarity
6.8 Extraction of primitives
6.9 Graph based représentations
6.10 pattern recognition
6.11 Images compararison
6.12 Research of images by their content
6.13 Séquence of images, video
7 Compression
7.1 Color quantization
7.2 mapping methods
7.3 Dithering methods
7.4 Encoding by transformations
7.5 Compression norms
8 Applications
9 transversal themas
9.1 Markov fields
9.2 partial derivative equations
9.3 fuzzy logic
9.4 Probabilist methods
9.5 Neural networks, Hopfield networks
9.6 Scale space
9.7 Watermarking
