An Imaging System for Textile Surface Profile based on Silhouette Image Analysis

Binjie Xin, Jinlian Hu, George Baciu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)


This paper presents a digital imaging method based on silhouette image analysis to visualize the 3D surface Profile of textile or other flexible materials. A prototype of imaging system consisting of five components was developed: visible lighting source (white backlighting), sample stage, progressive sample feeding equipments, detector (CCD camera) and software. A sequence of silhouette images of textile surface patches could be digitalized progressively when sample passing through the sharp edge of crossbeam in bending status, so that the whole 3D surface profile could be generated by the combination of silhouette height profile of each surface patch in sequence. The proposed method and system enables us to reconstruct the 3D surface profile of the textile materials without colors and textures of them, and therefore this method could be much more effective for the surface characterization and defect analysis than traditional 2D image analysis methods.

Original languageEnglish
Pages (from-to)601-613
Number of pages13
JournalInternational Journal of Image and Graphics
Issue number4
Publication statusPublished - 1 Oct 2008


  • 3D surface reconstruction
  • imaging system
  • silhouette image analysis
  • Textile material

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design


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