A Novel CT Image Dynamic Fuzzy Retrieval Method Using Curvelet Transform

  • Guangming Zhang
  • Zhiming Cui
  • Shengrong Gong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5938)

Abstract

Curvelet transform as time-frequency and multiresolution analysis tool is often used in the domain of image processing, especially for image characteristic extraction. This paper proposes a novel CT image retrieval method which is combining curvelet transform and dynamic fuzzy theory. Firstly, the image was decomposed by curvelet transform to obtain the different subbands coefficients. Then the entropy from certain subband was calculated, and a membership function based on dynamic fuzzy theory was constructed to adjust the weight of coefficients similarity. At last a model was constructed to obtain the similarity degree for CT image retrieval. The precision of our model could be applied to CT image retrieval practically.

Keywords

fuzzy retrieval curvelet transform similarity degree CT image 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Guangming Zhang
    • 1
  • Zhiming Cui
    • 1
    • 2
  • Shengrong Gong
    • 1
  1. 1.The Institute of Intelligent Information Processing and ApplicationSoochow UniversitySuzhouChina
  2. 2.JiangSu Province Support Software Engineering R&D Center for Modern Information Technology Application in EnterpriseSuzhouChina

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