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Title: Detection of repetitive patterns in near regular texture images
Authors: Cai, Y
Baciu, G 
Keywords: keywords: {Near regular texture
Image analysis
Pattern recognition
Texture analysis
Issue Date: 2011
Publisher: IEEE
Source: 2011 IEEE 10th IVMSP Workshop, 16-17 June 2011, Ithaca, NY, p. 60-65 How to cite?
Journal: 2011 IEEE 10th IVMSP Workshop, 16-17 June 2011, Ithaca, NY 
Abstract: Detection of repetitive patterns in texture images is a longstanding problem in texture analysis. In the textile industry, this is particularly useful in isolating repeats in woven fabric designs. Based on repetitive patterns, textile designers can identify and classify complex textures. In this paper, we propose a new method for detecting, locating, and grouping the repetitive patterns, particularly for near regular textures (NRT) based on a mid-level patch descriptor. A NRT is parameterized as a vector-valued function representing a texton unit together with a set of geometric transformations. We perform shape alignment by image congealing and correlation matching. Our experiments demonstrate that our patch-based method significantly improves the performance and the versatility of repetitive pattern detection in NRT images.
ISBN: 978-1-4577-1284-5
DOI: 10.1109/IVMSPW.2011.5970355
Appears in Collections:Conference Paper

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