Retinex Filtering for Fabric Fault Detection

Amelia Carolina Sparavigna (1) , Roberto Marazzato (1)

1 Polito - Politecnico di Torino = Polytechnic of Turin

The paper is proposing the use of a Retinex filter (GIMP Retinex) for improving those methods of fabric fault detection, which are based on image processing. Since the Retinex filtering is simulating the human vision, it seems possible that it could act in processing the images as the trained staff of textile industry is acting in the visual inspection of the fabric on off-line stations. Here some preliminary examples are proposed, which seem quite interesting for a preprocessing of the images, on which a further analysis can be applied to determine the presence of defects.

Mots clés: image processing; Retinex filtering; GIMP Retinex; texture analysis; fabric fault detection

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

Amelia Carolina Sparavigna, Roberto Marazzato. Retinex Filtering for Fabric Fault Detection. 2016. ⟨hal-01347958⟩