The GIMP Retinex Filter Applied to the Fabric Fault Detection
Amelia Carolina Sparavigna and
Roberto Marazzato
International Journal of Sciences, 2017, vol. 6, issue 03, 106-112
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.
Keywords: Image Processing; Retinex Filtering; GIMP Retinex; Texture Analysis; Textiles; Fabric Fault Detection (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adm:journl:v:6:y:2017:i:3:p:106-112
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DOI: 10.18483/ijSci.1227
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