Diferencia entre revisiones de «Hybrid Image Segmentation»
De Grupo de Inteligencia Computacional (GIC)
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Sin resumen de edición |
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: In this page we make publicly available a demonstration of a | : 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. | ||
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: This software has been developed in the .Net platform. | |||
Revisión del 17:43 6 dic 2010
- 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.
- This software has been developed in the .Net platform.
