Title
Matlab Graphic User Interface for image segmentation using Markov random fields and entropy estimation with parallel processing.
Abstract
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 paraDel 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.
Year
DOI
Venue
2014
10.1109/CONIELECOMP.2014.6808596
CONIELECOMP
Keywords
Field
DocType
markov processes,image segmentation,graphical user interfaces,parallel processing,computational complexity,entropy
Computer vision,MATLAB,Maximum-entropy Markov model,Markov process,Scale-space segmentation,Segmentation,Computer science,Markov chain,Segmentation-based object categorization,Image segmentation,Artificial intelligence
Conference
ISSN
Citations 
PageRank 
2474-9036
0
0.34
References 
Authors
5
5