Pattern segmentation in textile images

Author

Smoaca, Andreea ; Coltuc, Daniela ; Lazarescu, Vasile

Author_Institution

Fac. of Electron., Telecommun. & Inf. Technol., Univ. Politeh. of Bucharest, Bucharest, Romania

fYear

2009

fDate

9-10 July 2009

Firstpage

1

Lastpage

4

Abstract

This paper presents some results regarding the automatic segmentation of patterns in images of textile samples. The pattern segmentation is necessary for further extraction of a set of shape descriptors to be used in a CBIR database for textiles. Five different filters for removing the fabrics texture have been tested: mean, median, Gaussian, soft wavelet thresholding and a new approach based on wavelet transform and independent components analysis. For segmentation, due to the poor color content of the images, the binarization proved to be a satisfactory choice. Three algorithms for the threshold computation have been tested: Otsu, background symmetry and triangle.

Keywords

fabrics; feature extraction; image segmentation; image texture; independent component analysis; production engineering computing; textile industry; wavelet transforms; CBIR database; Gaussian wavelet thresholding; fabrics texture removal; filters; independent components analysis; mean wavelet thresholding; median wavelet thresholding; pattern segmentation; shape descriptor set extraction; soft wavelet thresholding; textile images; wavelet transform; Fabrics; Filters; Image databases; Image segmentation; Independent component analysis; Shape; Testing; Textiles; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Circuits and Systems, 2009. ISSCS 2009. International Symposium on

Conference_Location

Iasi

Print_ISBN

978-1-4244-3785-6

Electronic_ISBN

978-1-4244-3786-3

Type

conf

DOI

10.1109/ISSCS.2009.5206185

Filename

5206185