Diferencia entre revisiones de «Illumination Source Chromaticity Estimation (ISC)»
De Grupo de Inteligencia Computacional (GIC)
Sin resumen de edición |
Sin resumen de edición |
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| (No se muestra una edición intermedia de otro usuario) | |||
| Línea 1: | Línea 1: | ||
The algorithm is implemented for Scilab [link] | :The algorithm is implemented for Scilab [http://www.scilab.org/ link] | ||
Using SIP tool box [link] | :Using SIP tool box [http://siptoolbox.sourceforge.net/ link] | ||
ISC code [link] | :ISC code [http://www.ehu.es/ccwintco/uploads/f/f3/ISC.zip link] | ||
:We have used Scilab 4.2.2, SIP 0.4, in OpenSuse Linux | |||
:This software corresponds to the paper: Illumination Source Chromaticity Estimation Based on Spherical Coordinates in RGB, Ramón Moreno, Manuel Graña, Alicia d’Anjou, Electronics Letters accepted dec. 2010. | |||
:Abstract: Spherical coordinates in the RGB color space provide direct chromatic information. In this letter we propose a novel method that uses this information for illumination source chromaticity (ISC) estimation. We test our method on synthetic images whose ISC is known. This allows a quantitative comparison with a state of the art algorithm. Our algorithm improves over the competing algorithm. | |||
Revisión actual - 17:59 6 dic 2010
- We have used Scilab 4.2.2, SIP 0.4, in OpenSuse Linux
- This software corresponds to the paper: Illumination Source Chromaticity Estimation Based on Spherical Coordinates in RGB, Ramón Moreno, Manuel Graña, Alicia d’Anjou, Electronics Letters accepted dec. 2010.
- Abstract: Spherical coordinates in the RGB color space provide direct chromatic information. In this letter we propose a novel method that uses this information for illumination source chromaticity (ISC) estimation. We test our method on synthetic images whose ISC is known. This allows a quantitative comparison with a state of the art algorithm. Our algorithm improves over the competing algorithm.
