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MToS: A Tree of Shapes for Multivariate Images
- Source :
- IEEE Transactions on Image Processing, IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, 24 (12), pp.5330-5342. ⟨10.1109/TIP.2015.2480599⟩
- Publication Year :
- 2015
- Publisher :
- HAL CCSD, 2015.
-
Abstract
- International audience; The topographic map of a gray-level image, also called tree of shapes, provides a high-level hierarchical representation of the image contents. This representation, invariant to contrast changes and to contrast inversion, has been proved very useful to achieve many image processing and pattern recognition tasks. Its definition relies on the total ordering of pixel values, so this representation does not exist for color images, or more generally, multivariate images. Common workarounds such as marginal processing, or imposing a total order on data are not satisfactory and yield many problems. This paper presents a method to build a tree-based representation of multivariate images which features marginally the same properties of the gray-level tree of shapes. Briefly put, we do not impose an arbitrary ordering on values, but we only rely on the inclusion relationship between shapes in the image definition domain. The interest of having a contrast invariant and self-dual representation of multi-variate image is illustrated through several applications (filtering, segmentation, object recognition) on different types of data: color natural images, document images, satellite hyperspectral imaging, multimodal medical imaging, and videos.
- Subjects :
- Tree of shapes
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
multivariate images
Image processing
02 engineering and technology
Iterative reconstruction
Mathematical morphology
Pattern Recognition, Automated
connected operators
0202 electrical engineering, electronic engineering, information engineering
Image Processing, Computer-Assisted
Humans
Computer vision
Segmentation
mathematical morphology
Mathematics
Pixel
business.industry
Cognitive neuroscience of visual object recognition
Hyperspectral imaging
020206 networking & telecommunications
Pattern recognition
Image segmentation
Computer Graphics and Computer-Aided Design
Computer Science::Computer Vision and Pattern Recognition
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Multivariate Analysis
020201 artificial intelligence & image processing
Artificial intelligence
business
Software
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 10577149
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Image Processing, IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, 24 (12), pp.5330-5342. ⟨10.1109/TIP.2015.2480599⟩
- Accession number :
- edsair.doi.dedup.....b63f96df0124c881e449836ed9dbf67f