Image Classification Using Segmentation Graph
Arya Venugopal · 2012
Introducing a multiregion graph cut image partitioning through kernel mapping of the image data. The proposed func- tional contains two terms: an original kernel-induced term which evaluates the deviation of the mapped image data within each region from the piecewise constant model and a regularization term expressed as a function of the region indices. Using a com- mon kernel function, the objective functional minimization is carried out by iterations of two consecutive steps: 1) minimization with respect to the image segmentation by graph cuts 2) minimization with respect to the regions parameters via fixed point computation