Non-Linear Polynomial Filters for Edge Enhancement of Mammograms

  • Vikrant BhatejaEmail author
  • Mukul Misra
  • Shabana Urooj
Part of the Studies in Computational Intelligence book series (SCI, volume 861)


Non-linear polynomial filtering (NPF) framework has been explored previously as a robust approach for contrast improvement of mammographic images. However, NPF ‘Prototypes: α and β′ have been performance limited; as the contrast improvement has been accompanied with a severe background suppression in mammograms. This affected the visualization of other anatomical structures and diagnostic features in the vicinity of the ROI; these features equally contribute towards diagnostic decision making by radiologists. On the other hand, it is equally difficult to improve the edge strength and sharpness of the ROI without compromising the background content.


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringShri Ramswaroop Memorial Group of Professional Colleges (SRMGPC)LucknowIndia
  2. 2.Dr. A.P.J. Abdul Kalam Technical UniversityLucknowIndia
  3. 3.Faculty of Electronics and Communication EngineeringShri Ramswaroop Memorial University (SRMU)BarabankiIndia
  4. 4.Department of Electrical Engineering, College of EngineeringPrincess Nourah Bint Abdulrahman UniversityRiyadhKingdom of Saudi Arabia

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