Diferencia entre revisiones de «Hybrid Image Segmentation»
De Grupo de Inteligencia Computacional (GIC)
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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. | ||
Revisión del 15:34 11 feb 2011
- 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 (submitted for publication).
