Measurement of cloth fell position using image analysis

Yildirim B., Baser G.

JOURNAL OF THE TEXTILE INSTITUTE, vol.102, no.11, pp.905-916, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 102 Issue: 11
  • Publication Date: 2011
  • Doi Number: 10.1080/00405000.2010.526343
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.905-916
  • Keywords: weaving loom, cloth fell, image analyzing, k-means clustering, wavelet transform, segmentation, TEXTURE CLASSIFICATION, WAVELET, SEGMENTATION, INSPECTION
  • Dokuz Eylül University Affiliated: Yes


In this paper, a computer-aided image-analyzing method for measuring cloth fell position directly in a non-contact manner is introduced. The method measures the cloth fell position from an image taken by means of a camera which is mounted over the woven fabric and warp region including cloth fell on a weaving loom. Laser light lines are used as reference lines. The image containing the reference lines, the fabric and warp system is decomposed using wavelet transforms. Horizontal detail coefficient matrix is filtered with local standard deviation of a kernel for textural feature extraction and grouping achieved by means of k-means clustering in order to determine the cloth fell position. Due to the fact that reference line positions remain the same on the fabric, cloth fell position alterations can be calculated by measuring the distance between the reference line and the cloth fell. The conversion of the distance between the cloth fell position and the reference line, measured by the number of pixels, can be accomplished by using the known distance between reference lines as a means of calibration.