Automatic Colorectal Polyp Detection in Colonoscopy Video Frames

Document Type : Research Articles

Authors

1 Department of Information Technology, Excel Engineering College, India.

2 Department of Information Technology, K S Rangasamy College of Technology, India

Abstract

 
Colonoscopy is currently the best technique available for the detection of colon cancer or colorectal polyps or other precursor lesions. Computer aided detection (CAD) is based on very complex pattern recognition. Local binary patterns (LBPs) are strong illumination invariant texture primitives. Histograms of binary patterns computed across regions are used to describe textures. Every pixel is contrasted relative to gray levels of neighbourhood pixels. In this study, colorectal polyp detection was performed with colonoscopy video frames, with classification via J48 and Fuzzy. Features such as color, discrete cosine transform (DCT) and LBP were used in confirming the superiority of the proposed method in colorectal polyp detection. The performance was better than with other current methods.

Keywords

Asian Pacific Journal of Cancer Prevention
Volume 17, Issue 11
November 2016
Pages 4869-4873

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History

  • Receive Date: 27 August 2016
  • Revise Date: 28 November 2016
  • Accept Date: 28 December 2016

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