Local Texton Dissimilarity with Applications on Biomass Classification

Radu Tudor Ionescu, Andreea-Lavinia Popescu, Dan Popescu, Marius Popescu

Abstract

Texture classification, texture synthesis, or similar tasks are an active topic in computer vision and pattern recognition. This paper aims to present a novel texture dissimilarity measure based on textons, namely the Local Texton Dissimilarity (LTD), inspired from (Dinu et al., 2012). Textons are represented as a set of features extracted from image patches. The proposed dissimilarity measure shows its application on biomass type identification. A new data set of biomass texture images is provided by this work, which is available at http://biomass.herokuapp.com. Images are separated into three classes, each one representing a type of biomass. The biomass type identification and quality assessment is of great importance when one in the biomass industry needs to produce another energy product, such as biofuel, for example. Two more experiments are conducted on popular texture classification data sets, namely Brodatz and UIUCTex. The proposed method benefits from a faster computational time compared to (Dinu et al., 2012) and a better accuracy when used for texture classification. The performance level of the machine learning methods based on LTD is comparable to the state of the art methods.

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Paper Citation


in Harvard Style

Ionescu R., Popescu A., Popescu D. and Popescu M. (2014). Local Texton Dissimilarity with Applications on Biomass Classification . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 593-600. DOI: 10.5220/0004740105930600


in Bibtex Style

@conference{visapp14,
author={Radu Tudor Ionescu and Andreea-Lavinia Popescu and Dan Popescu and Marius Popescu},
title={Local Texton Dissimilarity with Applications on Biomass Classification},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={593-600},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004740105930600},
isbn={978-989-758-003-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Local Texton Dissimilarity with Applications on Biomass Classification
SN - 978-989-758-003-1
AU - Ionescu R.
AU - Popescu A.
AU - Popescu D.
AU - Popescu M.
PY - 2014
SP - 593
EP - 600
DO - 10.5220/0004740105930600