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.
Highlights
The visual inspection of woven fabrics is fundamental for textile producers to guarantee the quality of their products as being free from defects
Among MultiScale Retinex with Colour Restoration (MSRCR) we find the GIMP Retinex, a freely available tool developed by Fabien Pelisson [40] (GIMP is the GNU image processing software)
From a single image of the fabric, we had two filtered images that we can compare to determine the presence of a defect
Summary
The visual inspection of woven fabrics is fundamental for textile producers to guarantee the quality of their products as being free from defects. To authors’ best knowledge, there is a possibility not yet experimented, and this possibility is here proposedIt is the use of a Retinex filtering of the images of fabrics, to enhance the visibility of defects. The result is an almost homogenous grey image, having the position of the defect evidenced by the bright region (Figure 3b).
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