The GIMP Retinex Filter Applied to the Fabric Fault Detection
| Autor: | Amelia Carolina Sparavigna, Roberto Marazzato |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
010407 polymers
Fabric Fault Detection Color constancy Image Processing Retinex Filtering GIMP Retinex Texture Analysis Textiles Computer science business.industry 020208 electrical & electronic engineering Image processing 02 engineering and technology Filter (signal processing) 01 natural sciences Fault detection and isolation 0104 chemical sciences Visual inspection 0202 electrical engineering electronic engineering information engineering Preprocessor Computer vision Artificial intelligence business |
| Zdroj: | International Journal of Sciences. 3:106-112 |
| ISSN: | 2305-3925 2410-4477 |
| DOI: | 10.18483/ijsci.1227 |
| Popis: | 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.Read Complete Article at ijSciences: V62017031227 AND DOI: http://dx.doi.org/10.18483/ijSci.1227 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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