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Medical Image Colorization for Better Visualization and Segmentation

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Medical Image Understanding and Analysis (MIUA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 723))

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Abstract

Medical images contain precious anatomical information for clinical procedures. Improved understanding of medical modality may contribute significantly in arena of medical image analysis. This paper investigates enhancement of monochromatic medical modality into colorized images. Improving the contrast of anatomical structures facilitates precise segmentation. The proposed framework starts with pre-processing to remove noise and improve edge information. Then colour information is embedded to each pixel of a subject image. A resulting image has a potential to portray better anatomical information than a conventional monochromatic image. To evaluate the performance of colorized medical modality, the structural similarity index and the peak signal to noise ratio are computed. Supremacy of proposed colorization is validated by segmentation experiments and compared with greyscale monochromatic images.

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Acknowledgment

This work was carried on during the research project entitle “Automatic Surveillance System for Video Streams” funded by ICT Rnd, Pakistan.

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Authors and Affiliations

  1. AlKhawarizmi Institute of Computer Science, UET Lahore, Lahore, Pakistan

    Muhammad Usman Ghani Khan & Nudrat Nida

  2. University of Sheffield, Sheffield, UK

    Yoshihiko Gotoh

Authors
  1. Muhammad Usman Ghani Khan
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  2. Yoshihiko Gotoh
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  3. Nudrat Nida
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Corresponding author

Correspondence to Muhammad Usman Ghani Khan .

Editor information

Editors and Affiliations

  1. Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom

    María Valdés Hernández

  2. University of León, León, Spain

    Víctor González-Castro

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Khan, M.U.G., Gotoh, Y., Nida, N. (2017). Medical Image Colorization for Better Visualization and Segmentation. In: Valdés Hernández, M., González-Castro, V. (eds) Medical Image Understanding and Analysis. MIUA 2017. Communications in Computer and Information Science, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-60964-5_50

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  • DOI: https://doi.org/10.1007/978-3-319-60964-5_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60963-8

  • Online ISBN: 978-3-319-60964-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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