title: Automatic Colorectal Polyp Detection in Colonoscopy Video Frames
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.
authors.affiliation: Department of Information Technology, Excel Engineering College, India. Email:rajancsg@gmail.com
authors.forename: Geetha
authors.initials: G
authors.lastname: k
authors.forename: Rajan
authors.initials: R
authors.lastname: c
keywords: Colon cancer; colonoscopy; Local Binary Pattern (LBP); J48; Fuzzy; Discrete Cosine Transform (DCT