Group-Theoretical Structure in Multispectral Color and Image Databases
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Summary
Understanding the structure of the spaces of nonnegative signals is of interest in many different areas because many applications lead to signals with nonnegative function values.
- Type
- article
- Published
- 2005-01-01
- Cited by
- 4
- References
- 109
- OpenAlex
- https://openalex.org/W69635986
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:36705776
Keywords
Multispectral image, Computer science, Artificial intelligence, Database, Group (periodic table)
References
- Enhanced perceptual distance functions and indexing for image replica recognition
- Kernel Density Estimators for Hue Based Image Retrieval
- COLOR EDGE DETECTORS FOR CONICAL COLOR SPACES
- Linear operators leaving invariant a cone in a Banach space
- Differential forms and applications
- Geometry: Plane and Fancy
- Théorie des distributions
- Noneuclidean tesselations and their groups
- Topics in Harmonic Analysis on Homogeneous Spaces
- Group Theoretical Invariants in Color Image Processing
- Euclidean and Non-Euclidean Geometry: An Analytic Approach
- PCA-based representation of color distributions for color-based image retrieval
- Applications of Lie Groups to Differential Equations
- Foundations of Euclidean and Non-Euclidean Geometry
- Image indexing using color correlograms
- Similarity of color images
- Testing linear models on spectral daylight measurements.
- Color and luminance information in natural scenes.
- Simple trace criterion for classification of multilayers.
- Differential Geometry, Lie Groups, and Symmetric Spaces
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- Color Emotions in Large Scale Content Based Image Indexing
- Performance evaluation of dimensionality reduction techniques for multispectral images
- Study on color space selection for detecting cast shadows in video surveillance: Articles
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