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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| (No se muestran 5 ediciones intermedias de otro usuario) | |||
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: In this page we make publicly available a demonstration of a [[media:HIS.zip| Hybrid Image Segmentation]]method based on a hybrid distance which is inspired in the selective behavior of the human vision system. | : In this page we make publicly available a demonstration of a [[media:HIS.zip| Hybrid Image Segmentation]] method 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 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 | : 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 (2013), 6(9):1275 - 1283 | |||
: 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]. | |||
: Platform support: This software has been developed in the .Net platform. | : Platform support: This software has been developed in the .Net platform. | ||
Revisión actual - 00:41 20 mar 2014
- In this page we make publicly available a demonstration of a Hybrid Image Segmentation method 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 (2013), 6(9):1275 - 1283
