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Edge-aware Local Laplacian Filters for Medical X-Ray Image Enhancement

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Health Information Science (HIS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10038))

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Abstract

This paper proposed a method of edge-aware image processing using standard Laplacian pyramid for medical X-ray image enhancement. It combines edge-aware image processing with multi-scale medical image enhancement algorithm. In particular, after the pyramid decomposition, the large scale edges from small scale detail images are differentiated with a threshold on pixel values. Based on this, a set of image filters are used to achieve edge-preserving smoothing and detail enhancement. The result suggests that our approach enhances the details of the X-ray image by contrast enhancing and edge detail preservation.

This paper was supported by the National 863 Program (2015AA020933) and National Natural Science Foundation of China (61571432, 81427803).

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Author information

Authors and Affiliations

  1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Jingjing He, Mingmin Chen & Zhicheng Li

  2. School of Information Engineering, Wuhan University of Technology, Wuhan, China

    Jingjing He, Mingmin Chen & Zhicheng Li

Authors
  1. Jingjing He
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  2. Mingmin Chen
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  3. Zhicheng Li
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Corresponding author

Correspondence to Jingjing He .

Editor information

Editors and Affiliations

  1. Victoria University , Melbourne, Australia

    Xiaoxia Yin

  2. Computer Science, New Jersey Institute of Technology, Newark, New Jersey, USA

    James Geller

  3. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Ye Li

  4. Victoria University , Melbourne, Australia

    Rui Zhou

  5. Centre for Applied Informatics, Victoria University, Melbourne, Australia

    Hua Wang

  6. Centre for Applied Informatics, Victoria University, Melbourne, Australia

    Yanchun Zhang

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© 2016 Springer International Publishing AG

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He, J., Chen, M., Li, Z. (2016). Edge-aware Local Laplacian Filters for Medical X-Ray Image Enhancement. In: Yin, X., Geller, J., Li, Y., Zhou, R., Wang, H., Zhang, Y. (eds) Health Information Science. HIS 2016. Lecture Notes in Computer Science(), vol 10038. Springer, Cham. https://doi.org/10.1007/978-3-319-48335-1_11

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  • DOI: https://doi.org/10.1007/978-3-319-48335-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48334-4

  • Online ISBN: 978-3-319-48335-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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