wang-objectiveassessmentofpilling-2005.pdf (140.68 kB)
Objective assessment of pilling of nonwoven fabrics using the two dimensional discrete wavelet transform
conference contributionposted on 2005-01-01, 00:00 authored by Stuart Palmer, Xungai Wang
Fabric pilling is a serious problem for the apparel industry, causing an unsightly appearance and premature wear. Woolen products are particularly prone to pilling. Recently, a process for production of woolen nonwoven apparel fabrics has been commercialized in Australia, and may lead to new markets for Australian wool. However, the success of such nonwoven fabrics will partly rely on their propensity to pill. A key element in the control of fabric pilling is the evaluation of resistance to pilling by testing. Resistance to pilling is normally tested in the laboratory by processes that simulate accelerated wear, followed by a manual assessment of the degree of pilling by an expert based on a visual comparison of the sample to a set of test images. To bring more objectivity into the pilling rating process, a number of automated systems based on image analysis have been developed. The authors previously proposed a new method of image analysis based on the two-dimensional discrete wavelet transform to objectively measure the pilling intensity for woven fabrics. This paper presents preliminary work in extending this method to nonwoven fabrics.
Title of proceedings17th IMACS World Congress scientific computation, applied mathematics and simulation : Paris, France, July 11-15, 2005.
EventIMACS World Congress scientific computation, applied mathematics and simulation (17th : 2005, Paris, France)
PublisherInternational Association for Mathematics and Computers in Simulation (IMACS)
Place of publicationNew Brunswick, N.J.
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Publication classificationE1 Full written paper - refereed
Editor/Contributor(s)P Borne, M Benrejeb, N Dangoumau, L Lorimier
CategoriesNo categories selected
pillingnonwovenwavelet analysisScience & TechnologyTechnologyPhysical SciencesComputer Science, Artificial IntelligenceComputer Science, Software EngineeringEngineering, ManufacturingMathematics, AppliedMaterials Science, TextilesComputer ScienceEngineeringMathematicsMaterials ScienceDEFECT DETECTIONCLASSIFICATIONINSPECTION