Diferencia entre revisiones de «Robotic Vision: Technologies for Machine Learning and Vision Applications»

De Grupo de Inteligencia Computacional (GIC)
Sin resumen de edición
Sin resumen de edición
Línea 3: Línea 3:
:The method has 2 parameters (a,b) that specify the mixture model controlling the of activation of each component of the hybrid gradient. Besides, the method allows the specification of a decision threshold controlling the sensitivity of the method the region mergin.  
:The method has 2 parameters (a,b) that specify the mixture model controlling the of activation of each component of the hybrid gradient. Besides, the method allows the specification of a decision threshold controlling the sensitivity of the method the region mergin.  


: For a fast test of the parameters (a,b, threshold). We shared this light application for Windows platforms [media:Hybrid_Watershed_Image_Segmentation.zip| application]
: For a fast test of the parameters (a,b, threshold). We shared this light application for Windows platforms [[media:Hybrid_Watershed_Image_Segmentation.zip| (download)]]


: The [[media:SphericClass.zip| Sources]]. This class in C# and contains some methods for image segmentation based on the spheric approach.
: The [[media:SphericClass.zip| Sources]]. This class in C# and contains some 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 14:42 26 sep 2011

In this page we make publicly available a demonstration of a watershed Image Segmentation method based on a hybrid gradient.
The method has 2 parameters (a,b) that specify the mixture model controlling the of activation of each component of the hybrid gradient. Besides, the method allows the specification of a decision threshold controlling the sensitivity of the method the region mergin.
For a fast test of the parameters (a,b, threshold). We shared this light application for Windows platforms (download)
The Sources. This class in C# and contains some methods for image segmentation based on the spheric approach.
For any question, fell free to ask me.
Platform support: This software has been developed in the .Net platform.