Graph-based analysis of textured images for hierarchical segmentation

Raffaele Gaetano, Giuseppe Scarpa, Tamás Szirányi

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

The Texture Fragmentation and Reconstruction (TFR) algorithm has been recently introduced [9] to address the problem of image segmentation by textural properties, based on a suitable image description tool known as the Hierarchical Multiple Markov Chain (H-MMC) model. TFR provides a hierarchical set of nested segmentation maps by first identifying the elementary image patterns, and then merging them sequentially to identify complete textures at different scales of observation. In this work, we propose a major modification to the TFR by resorting to a graph based description of the image content and a graph clustering technique for the enhancement and extraction of image patterns. A procedure based on mathematical morphology will be introduced that allows for the construction of a color-wise image representation by means of multiple graph structures, along with a simple clustering technique aimed at cutting the graphs and correspondingly segment groups of connected components with a similar spatial context. The performance assessment, realized both on synthetic compositions of real-world textures and images from the remote sensing domain, confirm the effectiveness and potential of the proposed method.

Original languageEnglish
DOIs
Publication statusPublished - 2010
Event2010 21st British Machine Vision Conference, BMVC 2010 - Aberystwyth, United Kingdom
Duration: Aug 31 2010Sep 3 2010

Other

Other2010 21st British Machine Vision Conference, BMVC 2010
CountryUnited Kingdom
CityAberystwyth
Period8/31/109/3/10

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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    Gaetano, R., Scarpa, G., & Szirányi, T. (2010). Graph-based analysis of textured images for hierarchical segmentation. Paper presented at 2010 21st British Machine Vision Conference, BMVC 2010, Aberystwyth, United Kingdom. https://doi.org/10.5244/C.24.74