Automatic Computer Aided Bleeding Detection Scheme for Wireless Capsule Endoscopy (WCE) Video Based on Higher and Lower Order Statistical Features in a Composite Color

  • Tonmoy Ghosh
  • Shaikh Anowarul Fattah
  • Khan Arif Wahid
Original Article
  • 87 Downloads

Abstract

Wireless capsule endoscopy (WCE) offers noninvasive means to diagnose intestinal anomalies like bleeding. However, one of the problems here is the time consuming complex reviewing process which calls for automatic computer aided bleeding detection techniques to reduce the burden of the physicians. In this paper, pixel based holistic feature extraction scheme is proposed for bleeding frame detection of WCE recordings. Unlike conventional methods, instead of directly using RGB (red, green, blue) color space, a transform color domain is introduced. Higher and lower order statistical analysis on that composite color domain are carried out to extract features from the given WCE image. Feature-based supervised classification using support vector machine is performed to differentiate bleeding and non-bleeding images. Next, in order to improve the bleeding frame detection performance in WCE video, a post-processing scheme is developed utilizing the variation in temporal characteristics of consecutive frames. Finally, a zone detection algorithm is proposed to identify bleeding regions in the detected bleeding images where some morphological operations are also used. Extensive experimentation is carried out on a numerous number of WCE images and videos. It is observed that the proposed algorithm can detect bleeding frame and zones from WCE video recordings with a satisfactory level of performance.

Keywords

Bleeding detection Bleeding zone Color intensity ratio Feature extraction Wireless capsule endoscopy 

Notes

Acknowledgements

The authors would like to express their earnest gratefulness towards Dr. M. G. Kibria and Dr. S. N. F. Rumi of Dhaka Medical College and Hospital, Dhaka, Bangladesh, for assisting us to find the bleeding images of a WCE video and delineate the bleeding zones of a bleeding image.

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Copyright information

© Taiwanese Society of Biomedical Engineering 2017

Authors and Affiliations

  • Tonmoy Ghosh
    • 1
  • Shaikh Anowarul Fattah
    • 2
  • Khan Arif Wahid
    • 3
  1. 1.Department of EEEPabna University of Science and TechnologyPabnaBangladesh
  2. 2.Department of EEEBangladesh University of Engineering and TechnologyDhakaBangladesh
  3. 3.Department of ECEUniversity of SaskatchewanSaskatoonCanada

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