Use of Support Vector Machines for Color Image Segmentation
Omar Selmi, Antonio Pinti, Abdelmalik Taleb‐Ahmed, Naceur Kerkeni · 2006
We present in this document the first results of our work concerning the implementation of a non-supervised classification algorithm based on support vector machines (SVM) for color image segmentation. The principle of the technique consists in submitting the RGB color attributes (red, green and blue) of the picture to the algorithm of classification to determine the zones that have the same color and therefore determine the different present objects in the image. Our main contribution is the use of a classification algorithm based on support vector machines for image segmentation