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Biomedical Image Enhancement Using Different Techniques - A Comparative Study

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Data Science and Analytics (REDSET 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 799))

Abstract

In medical applications, processing of various medical images like chest X-rays, projection images of trans-axial tomography, cineangiograms and other medical images that occur in radiology, ultrasonic scanning and nuclear magnetic resonance (NMR) is required. These images may be used for patients’ screening and monitoring for detection of diseases in patients. Image enhancement algorithms are employed to emphasize, smoothen or sharpen image features for display and analysis. In the biomedical field, image enhancement faces the greatest difficulty in quantifying the criterion for enhancement. Enhancement methods are application specific and often developed empirically. The theme work presented in this paper is a detailed analysis of enhancement of medical images using contrast manipulation, noise reduction, edge sharpening, gray level slicing, edge crispening, magnification, interpolation, and pseudo-coloring. Comparison of these techniques is necessary for deciding an apt algorithm applicable for enhancement of all medical images and further processing. This paper reviews the background of enhancement techniques in three domains i.e. spatial, frequency and fuzzy domain. The comparative analysis of different techniques is shown using results that are obtained by applying these techniques to medical images.

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Authors and Affiliations

  1. The NorthCap University, Gurgaon, India

    Jyoti Dabass & Rekha Vig

Authors
  1. Jyoti Dabass
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  2. Rekha Vig
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Corresponding authors

Correspondence to Jyoti Dabass or Rekha Vig .

Editor information

Editors and Affiliations

  1. University of Arkansas, Fayetteville, AR, USA

    Brajendra Panda

  2. GD Goenka University, Gurugram, Haryana, India

    Sudeep Sharma

  3. GD Goenka University, Gurugram, Haryana, India

    Nihar Ranjan Roy

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Dabass, J., Vig, R. (2018). Biomedical Image Enhancement Using Different Techniques - A Comparative Study. In: Panda, B., Sharma, S., Roy, N. (eds) Data Science and Analytics. REDSET 2017. Communications in Computer and Information Science, vol 799. Springer, Singapore. https://doi.org/10.1007/978-981-10-8527-7_22

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  • DOI: https://doi.org/10.1007/978-981-10-8527-7_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8526-0

  • Online ISBN: 978-981-10-8527-7

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