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Weave-repeat identification by structural analysis of fabric images
Miquel Ralló1, Jaume Escofet, María S Millán
1Departament de Matemàtica Aplicada III, Universitat Politècnica de Catalunya, Edifici T8S, Campus de Terrassa, 08222, Terrassa, Barcelona, Spain. miquel.rallo@upc.es
Applied Optics
|June 21, 2003
Summary
This study introduces a novel image analysis method to extract detailed fabric weave structure information, including minimal repeats and interlacing patterns, applicable to various weave types.
Area of Science:
- Textile Science and Engineering
- Image Analysis and Computer Vision
Background:
- Accurate characterization of fabric structure is crucial for textile design and manufacturing.
- Existing methods may not fully capture complex weave patterns or minimal repeats.
Purpose of the Study:
- To develop and validate a comprehensive image analysis method for fabric structure extraction.
- To enable the identification of conventional and minimal weave repeats, their dimensions, and interlacing details.
Main Methods:
- Combining convolution and additive models in spatial and frequency domains for image description.
- Utilizing image analysis techniques to process fabric images.
Main Results:
- Successfully extracted conventional and minimal weave repeats from fabric images.
- Determined the size (number of threads) and interlacing patterns of weave repeats.
- Demonstrated applicability to both square and non-square conventional weave repeats.
Conclusions:
- The proposed image analysis method provides a robust approach for detailed fabric structure characterization.
- This technique offers valuable insights into fabric properties for research and industrial applications.