Hybrid Image Segmentation

De Grupo de Inteligencia Computacional (GIC)
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
The 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 me.
Platform support: This software has been developed in the .Net platform.