Defect image classification and retrieval with MPEG-7 descriptors

  • Authors:
  • Jussi Pakkanen;Antti Ilvesmäki;Jukka Iivarinen

  • Affiliations:
  • Helsinki University of Technology, Laboratory of Computer and Information Science, Finland;Helsinki University of Technology, Laboratory of Computer and Information Science, Finland;Helsinki University of Technology, Laboratory of Computer and Information Science, Finland

  • Venue:
  • SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
  • Year:
  • 2003

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Abstract

In this paper the visual content descriptors defined by the MPEG-7 standard are applied to defect image classification and retrieval. A pre-classified defect image database is used in evaluation. The experiments are done with a KNN classifier and with a PicSOM content-based image retrieval system. Results indicate that the MPEG-7 features work with a high level of success, especially the Color Structure and Homogeneous Texture descriptors seem to perform well.