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A fast image retrieval algorithm with multi-channel textural features in PACS

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Wuhan University Journal of Natural Sciences

Abstract

The paper presents a fast algorithm for image retrieval using multi-channel textural features in medical picture archiving and communication system (PACS). By choosing different linear or nonlinear operators in prediction and update lifting step, the linear or nonlinearM-band wavelet decomposition can be achieved inM-band lifting. It provides the advantages such as fast transform, in-place calculation and integer-integer transform. The set of wavelet moment forms multi-channel textural feature vector related to the texture distribution of each wavelet images. The experimental results of CT image database show that the retrieval approach of multi-channel textural features is effective for image indexing and has lower computational complexity and less memory. It is much casier to implement in hardware and suitable for the applications of real time medical processing system.

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Authors and Affiliations

  1. School of Physics and Technology, Wuhan University, 430072, Wuhan, Hubei, China

    Zhang Dong

  2. School of Electronic Information, Wuhan University, 430072, Wuhan, Hubei, China

    Yang Yan

  3. State Key Laboratory of Cartographical, Remote Sensing and Information Engineering, Wuhan University, 430079, Wuhan, Hubei, China

    Qin Qian-qing

Authors
  1. Zhang Dong
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  2. Yang Yan
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  3. Qin Qian-qing
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Corresponding author

Correspondence to Zhang Dong.

Additional information

Foundation item: Supported by the National Natural Science Foundation of China (69983005)

Biography: ZHANG Dong (1963-), male, Associate professor, research direction: medical imaging, image, communication, multiresolution analysis and its application.

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Dong, Z., Yan, Y. & Qian-qing, Q. A fast image retrieval algorithm with multi-channel textural features in PACS. Wuhan Univ. J. Nat. Sci. 10, 847–850 (2005). https://doi.org/10.1007/BF02832425

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  • DOI: https://doi.org/10.1007/BF02832425

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