Shape representation and recognition through morphological curvature scale spaces
- Author
- JALBA, Andrei C1 ; WILKINSON, Michael H. F1 ; ROERDINK, Jos B. T. M1
[1] Institute for Mathematics and Computing Science, University of Groningen, 9700 AV Groningen, Netherlands - Source
IEEE transactions on image processing. 2006, Vol 15, Num 2, pp 331-341, 11 p ; ref : 52 ref
- ISSN
- 1057-7149
- Scientific domain
- Telecommunications
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Connected operators curvature mathematical morphology pattern classification scale space shape retrieval top and bottom hat transforms
- Keyword (fr)
- Classification Courbure Détection forme Espace échelle Morphologie mathématique Méthode échelle multiple Reconnaissance forme Reconnaissance objet
- Keyword (en)
- Classification Curvature Shape detection Scale space Mathematical morphology Multiscale method Pattern recognition Object recognition
- Keyword (es)
- Clasificación Curvatura Detección forma Espacio escala Morfología matemática Método escala múltiple Reconocimiento patrón
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05C Image processing
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 17439077
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1109/TIP.2005.860606 
https://dx.doi.org/10.1109/TIP.2005.860606
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