Robotic Vision: Technologies for Machine Learning and Vision Applications

De Grupo de Inteligencia Computacional (GIC)
Revisión del 13:35 26 sep 2011 de Natafresa (discusión | contribs.)
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In this page we make publicly available a demonstration of a watershed Image Segmentation method based on a hybrid distance which is inspired in the selective behavior of the human vision system.
The method has 2 parameters (a,b) that specify the mixture model controlling the of activation of each component of the hybrid distance for 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 [media: Hybrid_Watershed_Image Segmentation.zip]
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.