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Open AccessArticle

A Method for the Assessment of Textile Pilling Tendency Using Optical Coherence Tomography

1
Institute of Applied Computer Science, Lodz University of Technology, 90-924 Lodz, Poland
2
Institute of Electrical Engineering Systems, Lodz University of Technology, 90-924 Lodz, Poland
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2020, 20(13), 3687; https://doi.org/10.3390/s20133687
Received: 20 May 2020 / Revised: 24 June 2020 / Accepted: 29 June 2020 / Published: 1 July 2020
(This article belongs to the Section Optical Sensors)
Pilling is caused by friction pulling and fuzzing the fibers of a material. Pilling is normally evaluated by visually counting the pills on a flat fabric surface. Here, we propose an objective method of pilling assessment, based on the textural characteristics of the fabric shown in optical coherence tomography (OCT) images. The pilling layer is first identified above the fabric surface. The percentage of protruding fiber pixels and Haralick’s textural features are then used as pilling descriptors. Principal component analysis (PCA) is employed to select strongly correlated features and then reduce the feature space dimensionality. The first principal component is used to quantify the intensity of fabric pilling. The results of experimental studies confirm that this method can determine the intensity of pilling. Unlike traditional methods of pilling assessment, it can also detect pilling in its early stages. The approach could help to prevent overestimation of the degree of pilling, thereby avoiding unnecessary procedures, such as mechanical removal of entangled fibers. However, the research covered a narrow group of fabrics and wider conclusions about the usefulness and limitations of this method can be drawn after examining fabrics of different thickness and chemical composition of fibers. View Full-Text
Keywords: optical coherent tomography; textile surface; computer image analysis; pilling grade; pilling assessment; Haralick features; texture; principal component analysis optical coherent tomography; textile surface; computer image analysis; pilling grade; pilling assessment; Haralick features; texture; principal component analysis
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Sekulska-Nalewajko, J.; Gocławski, J.; Korzeniewska, E. A Method for the Assessment of Textile Pilling Tendency Using Optical Coherence Tomography. Sensors 2020, 20, 3687.

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