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The robustness of objective fabric pilling evaluation method
journal contribution
posted on 2009-02-01, 00:00 authored by Junmin Zhang, Xungai Wang, Stuart PalmerPreviously, we proposed a new method to identify fabric pilling and objectively measure fabric pilling intensity based on the two-dimensional dual-tree complex wavelet reconstruction and neural network classification. Here we further evaluate the robustness of the method. Our results indicate that the pilling identification method is robust to significant variation in the brightness and contrast of the image, rotation of the image, and 2 i (i is an integer) times dilation of the image. The pilling feature vector developed to characterize the pilling intensity is robust to brightness change but is sensitive to large rotations of the image. As long as all fabric images are adjusted to have the same contrast level and the sample is illuminated from the same direction, the pilling feature vectors are comparable and can be used to classify the pilling intensity.
History
Journal
Fibers and polymersVolume
10Issue
1Pagination
108 - 115Publisher
SpringerLocation
Amsterdam, NetherlandsPublisher DOI
ISSN
1229-9197eISSN
1875-0052Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2009, SpringerUsage metrics
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