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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| Línea 4: | Línea 4: | ||
:We have used Scilab 4.2.2, SIP 0.4, in OpenSuse Linux | :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 - 16:59 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.
