A bond percolation-based model for image segmentation
Israr Hussain, Todd R. Reed · IEEE Transactions on Image Processing · 1997
This work presents a novel bond percolation-based approach to determine the clique potential parameters of a Gibbs-Markov model as a function of local characteristics of the underlying image. Using the renormalization group transformation, a multiscale description of the clique potential parameters is formed and used to obtain multiresolution image segmentation.