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Shape-based Invariant Texture Indexing

Abstract : This paper introduces a new texture analysis scheme which is invariant to local geometric and radiometric changes. The proposed methodology relies on the topographic map of images, obtained from the connected components of level sets. This morphological tool, providing a multi-scale and contrast-invariant representation of images, is shown to be well suited to texture analysis. We first make use of invariant moments to extract geometrical information from the topographic map. This yields features that are invariant to local similarities or local affine transformations. These features are invariant to any local contrast change. We then relax this invariance by computing additional features that are invariant to local affine contrast changes and investigate the resulting analysis scheme by performing classification and retrieval experiments on three texture databases. The obtained experimental results outperform the current state of the art in locally invariant texture analysis.
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https://hal.archives-ouvertes.fr/hal-00355070
Contributor : Gui-Song Xia <>
Submitted on : Thursday, January 22, 2009 - 7:28:03 AM
Last modification on : Friday, July 31, 2020 - 10:44:06 AM
Long-term archiving on: : Friday, October 12, 2012 - 10:01:08 AM

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Gui-Song Xia, Julie Delon, Yann Gousseau. Shape-based Invariant Texture Indexing. International Journal of Computer Vision, Springer Verlag, 2009, pp.1-22. ⟨10.1007/s11263-009-0312-3⟩. ⟨hal-00355070v1⟩

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