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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: 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. | : 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) | : 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. | ||
: As we explain in our works, image segmentation is a human hability, therefore it's dificult to compute it. In different occasion we will wish diferent segmentation. Helping to his goal, we share this sofware [[media:HIS.zip|HIS]]. Using it, we can know the parameters (a,b,c) and the threshold. | : As we explain in our works, image segmentation is a human hability, therefore it's dificult to compute it. In different occasion we will wish diferent segmentation. Helping to his goal, we share this sofware [[media:HIS.zip|HIS]]. Using it, we can know the parameters (a,b,c) and the threshold. | ||
: This sofware is for .Net platform. | : This sofware is for .Net platform. | ||
Revisión del 17:38 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.
- As we explain in our works, image segmentation is a human hability, therefore it's dificult to compute it. In different occasion we will wish diferent segmentation. Helping to his goal, we share this sofware HIS. Using it, we can know the parameters (a,b,c) and the threshold.
- This sofware is for .Net platform.
