Literature DB >> 18285240

A bond percolation-based model for image segmentation.

I Hussain1, T R Reed.   

Abstract

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.

Year:  1997        PMID: 18285240     DOI: 10.1109/83.650123

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  1 in total

1.  Image processing and fractal box counting: user-assisted method for multi-scale porous scaffold characterization.

Authors:  Vincenzo Guarino; Angela Guaccio; Paolo A Netti; Luigi Ambrosio
Journal:  J Mater Sci Mater Med       Date:  2010-10-05       Impact factor: 3.896

  1 in total

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