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A Change Detection Technique Using Rough C-Means on Medical Images

  • Amiya Halder
  • Kasturi Saha
  • Apurba Sarkar
  • Arnab Sen
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

Change Detection plays an important role in detecting various kinds of dissimilarities between two images of the same object over a period of time. This has extensive use in medical imaging and remote sensing. We propose a method of change detection where we first apply a change vector analysis (CVA), then apply clustering on the image by Rough C-means (RCM) and finally threshold it to obtain the Difference image (DI). RCM provides the concepts of upper approximation n and lower approximation which lead to better clustering and decrease the error rate. Experimental results of the proposed method are compared with existing change detection algorithms and it has been found to perform evidently better than the others.

Keywords

Rough set Image segmentation Change vector analysis Thresholding 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Amiya Halder
    • 1
  • Kasturi Saha
    • 1
  • Apurba Sarkar
    • 2
  • Arnab Sen
    • 1
  1. 1.Department of CSESTCETKolkataIndia
  2. 2.Department of CSEIIESTHowrahIndia

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