An Efficient Technique for Medical Image Enhancement Based on Interval Type-2 Fuzzy Set Logic

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 710)

Abstract

Medical images are generally of poor contrast and hence needs a special enhancement technique to improve the visibility before further analysis on those images can be done. The membership function in a Type-1 fuzzy set is not properly defined and hence there lie uncertainties in the result. But, type-2 fuzzy set considers uncertainty in the type-1 membership function itself. Hence, a type-2 fuzzy set based enhancement technique is introduced in this paper. A new membership function is defined. Through the new membership function, the fuzziness of the image is reduced to a great level which automatically enhances its contrast. The results obtained are found better than the traditional state of the art algorithms.

Keywords

Image enhancement Contrast improvement Entropy Fuzzy image processing Medical image Type-2 fuzzy set 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer Science and ApplicationsBarkatullah UniversityBhopalIndia
  2. 2.Department of Computer ApplicationsMANITBhopalIndia

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