Paper
2 September 2009 Objective measure of thread characteristics in non-closely woven fabrics by image processing
Jaume Escofet, Miquel Ralló, Montserrat Tàpias
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Abstract
A digital image processing approach to develop an automatic method for the objective measure of some thread parameters in a non closely-woven fabric is presented. The parameters addressed by this method are thickness, periodicity, regularity, area of holes between threads and cover factor. Applied techniques range from image thresholding for the segmentation of the threads from the background, to morphological operations such as skeletonization and non-lineal filters. They are successfully applied to segment vertical and horizontal lines describing the geometry of the threads. The mentioned parameters are derived from further labeling of the skeletonized images.
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Jaume Escofet, Miquel Ralló, and Montserrat Tàpias "Objective measure of thread characteristics in non-closely woven fabrics by image processing", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74431L (2 September 2009); https://doi.org/10.1117/12.825233
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KEYWORDS
Image filtering

Image processing

Image segmentation

Digital image processing

Image analysis

Statistical analysis

Nonlinear filtering

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