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Published in:
2011 | OriginalPaper | Chapter
Expanding the Local Binary Pattern to Multispectral Images Using Total Orderings
Author : Vincent Barra
Published in: Computer Vision, Imaging and Computer Graphics. Theory and Applications
Publisher: Springer Berlin Heidelberg
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Texture is an important feature for image analysis, segmentation or classification. Since more and more image segmentation problems involve multi- and even hyperspectral data, it becomes necessary to define multispectral texture features. We propose here a natural extension of the classical Local Binary Pattern (LBP) operator to the case of multispectral images. The Loc al Multispectral Binary Pattern (LMBP) operator is based on the definition of total orderings in the multispectral image space and on an extension of the standard univariate LBP. It allows the computation of both a multispectral texture structure coefficient and a multispectral contrast parameter distribution. Results are demonstrated in the case of the segmentation of brain tissues from multispectral MR images, and compared to other multispectral texture features.