Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22349
Title: Classifying fleece fabric appearance by extended morphological fractal analysis
Authors: Hu, J 
Xin, B
Yan, H
Issue Date: 2002
Publisher: SAGE Publications
Source: Textile research journal, 2002, v. 72, no. 10, p. 879-884 How to cite?
Journal: Textile research journal 
Abstract: Image analysis techniques have been widely accepted as objective methods for evaluating fabric appearance. This paper presents the development of a fairly new fractal analysis method (extended morphological fractal analysis) for characterizing polar fleece fabric appearance after abrasion. The digital gray level image is treated as a three-dimensional surface whose fractal dimension is calculated by performing a series of dilations and erosions on this surface and plotting the area of the resulting set of surfaces against the size of the structuring element. In contrast to a single morphological fractal parameter, which is scale-invariant, extended fractal analysis is able to characterize fabric textures where the roughness of these textures is not necessarily scale-invariant. This approach can be used to physically describe surface roughness and texture regularity with the parameter MFV (multiscale firactal vector) and to classify the appearance grade with the Bayes classification method. Our experimental results demonstrate that a good correlation can be established between estimated grades and subjective grades.
URI: http://hdl.handle.net/10397/22349
ISSN: 0040-5175
EISSN: 1746-7748
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