International Journal of Advanced Computing and Communication Systems

A Survey on Video Mining to Identify Cancer Inducing Polyps in Endoscopy Videos

Nagesh B S and Kavya N P, Department of MCA, RNS Institute of Technology, Bengaluru, India.

International Journal of Advanced Computing and Communication Systems

Received On :

Revised On :

Accepted On :

Published On :

Volume 06, Issue 01

Page No :026-030

Abstract

In this work we have performed a face recognition technique using corner detection algorithm. Here we have used fast corner detection algorithm but modified it by applying a masking technique to make a robust technique with respect to noise. This paper describes twelve facial landmarks which include left eye corners, right eye corners, left eyebrows, right eyebrows, lip corners, nostrils. It consists of two parts; in the first step we have done the masking technique to filter the image from noise. In the second step we applied the fast corner detection algorithm to detect the facial landmarks. The Fast corner detector works on the corner response function (CRF), which is computed as a minimum change of intensity over all possible direction. Lastly we have done a comparison study with other filtering techniques with respect to proposed masking technique. In this paper, we have done the experiments using IRIS face Database, BioID and Cohn Kanade Database. Recognition rate achieved by applying the proposed method are very well.

Keywords

data mining; GI: gastrointestine; VM: video mining.

Cite this Article

Nagesh B S and Kavya N P, “A Survey on Video Mining to Identify Cancer Inducing Polyps in Endoscopy Videos, ”International Journal of Advanced Computing and Communication Systems, pp. 001-008, March 2019.

Copyright

© 2019 Nagesh B S and Kavya N P. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.