Matlab Graphic User Interface for image segmentation using Markov random fields and entropy estimation with parallel processing

In this work it is presented, described and tested a new Matlab Graphic User Interface (GUI) for image segmentation of degraded images using two probabilistic techniques, Markov random fields (MRF) and nonparametric entropy estimation. This GUI was created in order to integrate a series of steps needed for the segmentation process into a single visual environment to allow an easier handling of input images and saving of results. It is also used a powerful utility of the Matlab software concerning to parallel processing, with the aim of reduce the computational time because of the high time consumption of this kind of algorithms. Results show a very satisfactory performance of this tool, allowing us to make this task easier and faster.