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Adaptive Processing of Tree-Structure Image Representation

  • Zhiyong Wang
  • Zheru Chi
  • Dagan Feng
  • S. Y. Cho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2195)

Abstract

Much research on image analysis and processing has been carried out for the last few decades. However, it is still challenging to represent the image contents effectively and satisfactorily. In this paper, a segmentation-free tree-structure image representation is presented. In order to learn the structure representation, a back-propagation through structure (BPTS) algorithm is adopted. Experiments on plant image classification and retrieval refining using only six visual features were conducted on a plant image database and a natural scene image database, respectively. Encouraging results have been achieved.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Zhiyong Wang
    • 1
  • Zheru Chi
    • 1
  • Dagan Feng
    • 1
  • S. Y. Cho
    • 1
  1. 1.Center for Multimedia Signal Processing Department of Electronic and Information EngineeringThe Hong Kong Polytechnic UniversityHung Hom, KowloonHong Kong

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