Diferencia entre revisiones de «Hybrid Image Segmentation»
De Grupo de Inteligencia Computacional (GIC)
Sin resumen de edición |
Sin resumen de edición |
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| Línea 4: | Línea 4: | ||
: The details of the method are given in the paper | : The details of the method are given in the paper | ||
''Image Segmentation on the Spherical Coordinate Representation of the RGB Color Space'' | ''Image Segmentation on the Spherical Coordinate Representation of the RGB Color Space'' | ||
R. Moreno, D. M. Ramik, M. Graña, and K. Madani, IET Image processing (submitted for publication). | |||
: The [[media:SphericClass.zip| Sources]]. This class in C# and contains a lot of methods for image segmentation based on the spheric approach. | : The [[media:SphericClass.zip| Sources]]. This class in C# and contains a lot of methods for image segmentation based on the spheric approach. | ||
: For any question, fell free to ask [http://www.ehu.es/ccwintco/index.php/Usuario:Natafresa me]. | : For any question, fell free to ask [http://www.ehu.es/ccwintco/index.php/Usuario:Natafresa me]. | ||
: Platform support: This software has been developed in the .Net platform. | : Platform support: This software has been developed in the .Net platform. | ||
Revisión del 16:34 11 feb 2011
- In this page we make publicly available a demonstration of a Hybrid Image Segmentationmethod based on a hybrid distance which is inspired in the selective behavior of the human vision system.
- The method has 3 parameters (a,b,c) that specify the mixture model controlling the of activation of each component of the hybrid distance. Besides, the method allows the specification of a decision threshold controlling the sensitivity of the method and the resulting amount of image segmentation regions.
- The details of the method are given in the paper
Image Segmentation on the Spherical Coordinate Representation of the RGB Color Space R. Moreno, D. M. Ramik, M. Graña, and K. Madani, IET Image processing (submitted for publication).
