Automatic Identification of Weave Patterns of Checked and Colored Fabrics Using Optical Coherence Tomography
Autor: | Mete U. Akdogan, Hakan Özdemir, Metin Sabuncu |
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Rok vydání: | 2017 |
Předmět: |
lcsh:Applied optics. Photonics
010407 polymers ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 01 natural sciences Optical coherent tomography Optical coherence tomography Woven fabric Digital image processing medicine lcsh:QC350-467 Computer vision Electrical and Electronic Engineering Weaving instrumentation medicine.diagnostic_test business.industry lcsh:TA1501-1820 Yarn 021001 nanoscience & nanotechnology Atomic and Molecular Physics and Optics 0104 chemical sciences Identification (information) Colored visual_art visual_art.visual_art_medium Tomography Artificial intelligence 0210 nano-technology business lcsh:Optics. Light |
Zdroj: | IEEE Photonics Journal, Vol 9, Iss 5, Pp 1-8 (2017) |
ISSN: | 1943-0655 |
Popis: | Identifying the weave pattern of fabrics can be done manually or automatically. Carrying out the weave recognition automatically will reduce the procedure time and error rates since automatic systems can perform successive measurements at high speeds and with great repeatability and quality. Woven fabric repeat identification systems that are automatic, usually work by employing complex algorithms and techniques. It is known that these automatic techniques struggle when trying to identify highly complex patterns, composing of a combination of different structures, figures, and colors. For example, image processing algorithms are known to make errors when dealing with checked and colored fabrics. In this paper, we apply the spectral domain optical coherence tomography imaging technique for identifying checked and colored woven fabric repeat automatically. This is achieved by employing an in-house written JAVA code that extracts the weave pattern from the tomography images. We show that automatic identification of weave pattern of checked and colored fabrics can be performed nondestructively by employing optical coherence tomography. |
Databáze: | OpenAIRE |
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