Empirical Comparison of Visual Descriptors for Multiple Bleeding Spots Recognition in Wireless Capsule Endoscopy Video

  • Sarah Alotaibi
  • Sahar Qasim
  • Ouiem Bchir
  • Mohamed Maher Ben Ismail
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8048)


Wireless Capsule Endoscopy (WCE) is the latest technology able to screen intestinal anomalies at early stage. Although its convenience to the patient and its effectiveness to show small intestinal details, the physician diagnosis remains not straight forward and time consuming. Thus, a computer aid diagnosis would be helpful. In this paper, we focus on The Multiple Bleeding Spots (MBS) anomaly. We propose to conduct an empirical evaluation of four feature descriptors in a the challenging problem of MBS recognition on WCE video using the SVM classifier. The performance of the four descriptors is based on the assessment of the performance of the output of the SVM classifier.


Wireless Capsule Endoscopy Feature descriptors SVM Multiple Bleeding Spots 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Sarah Alotaibi
    • 1
  • Sahar Qasim
    • 1
  • Ouiem Bchir
    • 1
  • Mohamed Maher Ben Ismail
    • 1
  1. 1.College of Computer and Information SciencesKing Saud UniversitySaudi Arabia

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