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Volume: 3 | Article ID: art00012
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Using Local Binary Pattern Operators for Colour Constant Image Indexing
David Connah
Graham D. Finlayson
  DOI :  10.2352/CGIV.2006.3.1.art00012  Published Online :  January 2006
Abstract

The Local Binary Pattern (LBP) operator computes a local texture measure that is invariant to monotonic transformations of the image grey-scale. As a result of this property, calculating the LBP value in each channel of a colour image results in a triplet of values that are invariant to changes in illumination colour. Previous research has shown that histograms of grey-scale LBP values, and histograms of LBP values calculated in the R, G and B channels independently, form useful feature vectors for image retrieval. In this paper we generate 3D histograms of LBP values for colour images. Our experiments demonstrate that image retrieval performance, on a database of objects viewed under different illuminants, is greatly improved when using the 3D histogram compared to when the histogram is calculated for each colour channel independently. Furthermore, we find that this method can give better performance than using colour-histogram based features.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CGIV.2006.3.1.art00012
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  Cite this article 

David Connah, Graham D. Finlayson, "Using Local Binary Pattern Operators for Colour Constant Image Indexing"  in Proc. IS&T CGIV 2006 3rd European Conf. on Colour in Graphics, Imaging, and Vision,  2006,  pp 60 - 64,  https://doi.org/10.2352/CGIV.2006.3.1.art00012

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  Copyright statement 
Copyright © Society for Imaging Science and Technology 2006
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20060101)2006:1L.60;1-
cgiv_v2006n1/splitsection12.xml
/ist/cgiv/2006/00002006/00000001/art00012
Articles
Using Local Binary Pattern Operators for Colour Constant Image Indexing
ConnahDavid
FinlaysonGraham D.
01012006
2006
1
60
64
2006
The Local Binary Pattern (LBP) operator computes a local texture measure that is invariant to monotonic transformations of the image grey-scale. As a result of this property, calculating the LBP value in each channel of a colour image results in a triplet of values that are invariant to changes in illumination colour. Previous research has shown that histograms of grey-scale LBP values, and histograms of LBP values calculated in the R, G and B channels independently, form useful feature vectors for image retrieval. In this paper we generate 3D histograms of LBP values for colour images. Our experiments demonstrate that image retrieval performance, on a database of objects viewed under different illuminants, is greatly improved when using the 3D histogram compared to when the histogram is calculated for each colour channel independently. Furthermore, we find that this method can give better performance than using colour-histogram based features.