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A simple texture feature for retrieval of medical images

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Abstract

Texture characteristic is an important attribute of medical images, and has been applied in many medical image applications. This paper proposes a simple approach to employ the texture features of medical images for retrieval. The developed approach first conducts image filtering to medical images using different Gabor and Schmid filters, and then uniformly partitions the filtered images into non-overlapping patches. These operations provide extensive local texture information of medical images. The bag-of-words model is finally used to obtain feature representations of the images. Compared with several existing features, the proposed one is more discriminative and efficient. Experiments on two benchmark medical CT image databases have demonstrated the effectiveness of the proposed approach.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (Nos. 61702129, 61772149, and 61320106008), and by Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Images and Graphics (No. GIIP201703).

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Authors and Affiliations

  1. Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics, Guilin University of Electronic Technology, Guilin, 541004, China

    Rushi Lan, Si Zhong, Zhenbing Liu & Xiaonan Luo

  2. School of Art & Design, Guilin University of Electronic Technology, Guilin, 541004, China

    Zhuo Shi

Authors
  1. Rushi Lan
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  2. Si Zhong
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  3. Zhenbing Liu
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  4. Zhuo Shi
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  5. Xiaonan Luo
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Correspondence to Zhenbing Liu.

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Lan, R., Zhong, S., Liu, Z. et al. A simple texture feature for retrieval of medical images. Multimed Tools Appl 77, 10853–10866 (2018). https://doi.org/10.1007/s11042-017-5341-2

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  • DOI: https://doi.org/10.1007/s11042-017-5341-2

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