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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Interest Region Description Using Local Binary Pattern of Gradients
verfasst von : Sajid Saleem, Robert Sablatnig
Erschienen in: Image Analysis
Verlag: Springer Berlin Heidelberg
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Multispectral imaging system maps the contents of a scene to different intensity levels with in spectral images. This imaging process induces spectral variations among the different wavelength band images of the same scene and results in uncorrelated interest region descriptors for cross spectral image matching. This paper presents Local Binary Pattern of Gradients (LBPG) to improve the strength of interest region description under such spectral variations. In LBPG the image gradients are first transformed into binary patterns and then the gradient patterns are used instead of raw gradients for interest region description. We validate the LBPG approach on the spectral images of six different indoor and outdoor scenes. The experimental results confirm better cross spectral image matching performance as compared to SIFT and Center Symmetric Local Binary Patterns.