Gaussian noise removal by color morphology and polar color models
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http://hdl.handle.net/10045/2818
Title: | Gaussian noise removal by color morphology and polar color models |
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Authors: | Ortiz Zamora, Francisco Gabriel |
Research Group/s: | Grupo de Tecnología de la Imagen |
Center, Department or Service: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal |
Keywords: | Gaussian noise removal |
Knowledge Area: | Ingeniería de Sistemas y Automática |
Issue Date: | 2006 |
Publisher: | Springer Berlin / Heidelberg |
Citation: | ORTIZ ZAMORA, Francisco Gabriel. "Gaussian noise removal by color morphology and polar color models". En: Image Analysis and Recognition : Third International Conference, ICIAR 2006, Póvoa de Varzim, Portugal, September 18-20, 2006, Proceedings, Part I. Berlin : Springer Berlin Heidelberg, 2007. (Lecture Notes in Computer Science; 4141/2006). ISBN 978-3-540-44891-4, pp. 163-172 |
Abstract: | This paper deals with the use of morphological filters by reconstruction of the mathematical morphology for Gaussian noise removal in color images. These new vector connected have the property of suppressing details preserving the contours of the objects. For the extension of the mathematical morphology to color images we chose a new polar color space, the l1-norme. This color model guarantees the formation of the complete lattice necessary in mathematical morphology avoiding the drawbacks of others polar spaces. Finally, after having defined the vectorial geodesic operators, the opening and closing by reconstruction are then employed for the Gaussian noise elimination. |
URI: | http://hdl.handle.net/10045/2818 |
ISBN: | 978-3-540-44891-4 |
ISSN: | 0302-9743 |
DOI: | 10.1007/11867586_16 |
Language: | eng |
Type: | info:eu-repo/semantics/bookPart |
Rights: | The original publication is available at www.springerlink.com |
Peer Review: | si |
Publisher version: | http://dx.doi.org/10.1007/11867586_16 |
Appears in Collections: | INV - GTI - Comunicaciones en Congresos |
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iciar-2006.pdf | 327,65 kB | Adobe PDF | Open Preview | |
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