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
 
(No se muestra una edición intermedia del mismo usuario)
Línea 8: Línea 8:
: 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.
: Please refer to this paper: Ramon Moreno, Manuel Graña and Kurosh Madani, A robust color Watershed transformation and image segmentation defined on RGB Spherical Coordinates, Robotic Vision: Technologies for Machine Learning and Vision Applications, pp112-128 doi:10.4018/978-1-4666-2672-0.ch007 ISBN: 978-1-4666-2734-5

Revisión actual - 01:39 20 mar 2014

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.
Please refer to this paper: Ramon Moreno, Manuel Graña and Kurosh Madani, A robust color Watershed transformation and image segmentation defined on RGB Spherical Coordinates, Robotic Vision: Technologies for Machine Learning and Vision Applications, pp112-128 doi:10.4018/978-1-4666-2672-0.ch007 ISBN: 978-1-4666-2734-5