Gutiérrez Mata, Osvaldo; De la Rosa Vargas, José Ismael; Villa Hernández, José de Jesús; González Elías, Efrén; Escalante, Nivia
Resumen:
In this work, a novel model of Markov random field is presented, named Semi-Huber potential function, applied
to image segmentation in presence of noise. The main difference with respect to other models that have been
taken as a reference, is that the number of parameters in the proposed model is significatively smaller. The idea is to choose adequate parameter values heuristically for a good segmentation of the image. In that sense, experiment results show that the proposed model allows a faster and easier parameter adjustment with razonable computation times.