Detection of repetitive patterns in near regular texture images

Yunliang Cai, George Baciu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

11 Citations (Scopus)


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.
Original languageEnglish
Title of host publication2011 IEEE 10th IVMSP Workshop
Subtitle of host publicationPerception and Visual Signal Analysis, IVMSP 2011 - Proceedings
Number of pages6
Publication statusPublished - 6 Sep 2011
Event2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis, IVMSP 2011 - Ithaca, NY, United States
Duration: 16 Jun 201117 Jun 2011


Conference2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis, IVMSP 2011
Country/TerritoryUnited States
CityIthaca, NY


  • image analysis
  • Near regular texture
  • pattern recognition
  • texton
  • texture analysis

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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