Comparative Study on Histogram Equalization Techniques for Medical Image Enhancement

  • Sakshi Patel
  • K. P. Bharath
  • S. Balaji
  • Rajesh Kumar MuthuEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1048)


Magnetic Resonance Imaging (MRI) is a medical imaging technique used for analyzing and diagnosing diseases such as cancer or tumor in a brain. In order to analyze these diseases, physicians require good contrast scanned images obtained from MRI for better treatment purpose as it contains maximum information of the disease. MRI images are low-contrast images which lead to difficulty in diagnoses, hence better localization of image pixels is required. Histogram equalization techniques help to enhance the image so that it gives an improved visual quality and a well-defined problem. The contrast and brightness are enhanced in such a way that it does not lose its original information and the brightness is preserved. In this paper, we compared the different equalization techniques which are critically studied and elaborated. Various parameters are calculated and tabulated, finally concluded the best among them.


Histogram equalization Brain tumor MRI 


  1. 1.
    Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice Hall (2002)Google Scholar
  2. 2.
    Kim, Y.T.: Contrast enhancement using brightness preserving bi-histogram equalization. IEEE Trans. Consum. Electr. 43(1), 1–8 (1997)Google Scholar
  3. 3.
    Abdullah-Al-Wadud, M., et al.: A dynamic histogram equalization for image contrast enhancement. IEEE Trans. Consum. Electr. 53(2), 593–600 (2007)CrossRefGoogle Scholar
  4. 4.
    Chen, S.D., Ramli, A.R.: Minimum mean brightness error Bi-histogram equalization in contrast enhancement. IEEE Trans. Consum. Electr. 49(4), 1310–1319 (2003)Google Scholar
  5. 5.
    Patel, O., Maravi, Y.P.S., Sharma, S.: A comparative study of histogram equalization based image enhancement techniques for brightness preservation and contrast enhancement. Signal Image Process. Int. J. (SIPIJ) 4(5) (2013)Google Scholar
  6. 6.
    Senthilkumaran, N., Thimmiaraja, J.: A study on Histogram Equalization for MRI Brain Image Enhancement. Association of Computer Electronics and Electrical Engineers (2014). doi: 03.AETS.2014.5.348Google Scholar
  7. 7.
    Garg, R.: Histogram equalization techniques for image enhancement. IJECT 2 (2011)Google Scholar
  8. 8.
    Kaur, M.: Survey of contrast enhancement techniques based on Histogram equalization. Int. J. Adv. Comput. Sci. appl. 2 (2011)Google Scholar
  9. 9.

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Sakshi Patel
    • 1
  • K. P. Bharath
    • 1
  • S. Balaji
    • 1
  • Rajesh Kumar Muthu
    • 1
    Email author
  1. 1.School of Electronics EngineeringVIT UniversityVelloreIndia

Personalised recommendations