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The GIMP Retinex Filter Applied to the Fabric Fault Detection

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  • Amelia Carolina Sparavigna
  • Roberto Marazzato

Abstract

In this paper we are proposing the use of a Retinex filter, the GIMP Retinex, for improving the methods for fabric fault detection based on image processing. Since the Retinex filtering is simulating the human vision, it can act in the processing of the images as the trained staff of textile industry is acting in the visual inspection of fabrics on off-line stations. Here some examples are proposed. These examples show that an image preprocessing based on a Retinex filter can help any further analysis aimed to detect the presence of defects.

Suggested Citation

  • Amelia Carolina Sparavigna & Roberto Marazzato, 2017. "The GIMP Retinex Filter Applied to the Fabric Fault Detection," International Journal of Sciences, Office ijSciences, vol. 6(03), pages 106-112, March.
    • Handle: RePEc:adm:journl:v:6:y:2017:i:3:p:106-112
    DOI: 10.18483/ijSci.1227
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    References listed on IDEAS

    as
    1. Amelia Carolina Sparavigna, 2015. "Gimp Retinex for Enhancing Images from Microscopes," International Journal of Sciences, Office ijSciences, vol. 4(06), pages 72-79, June.
    2. Amelia Carolina Sparavigna, 2015. "An Image Processing Approach Based on Gnu Image Manipulation Program Gimp to the Panoramic Radiography," International Journal of Sciences, Office ijSciences, vol. 4(05), pages 57-67, May.
    Full references (including those not matched with items on IDEAS)

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