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Authors: Himanshu Agrahari 1 ; Yuji Iwahori 2 ; M. K. Bhuyan 1 ; Somnath Ghorai 1 ; Himanshu Kohli 1 ; Robert J. Woodham 3 and Kunio Kasugai 4

Affiliations: 1 Indian Institute of Guwahati, India ; 2 Chubu University, Japan ; 3 University of British Columbia, Canada ; 4 Aichi Medical University, Japan

ISBN: 978-989-758-018-5

ISSN: 2184-4313

Keyword(s): Endoscopy, Discrete Singular Convolution, Histogram of Oriented Gradients (HOG), Conic Fitting, Support Vector Machine.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image Understanding ; Medical Imaging ; Object Recognition ; Pattern Recognition ; Software Engineering

Abstract: Endoscopy is a very powerful technology to examine the intestinal tract and to detect the presence of any possible abnormalities like polyps, the main cause of cancer. This paper presents an edge based method for polyp detection in endoscopic video images. It utilizes discrete singular convolution (DSC) algorithm for edge detection/segmentation scheme, then by using conic fitting techniques (ellipse and hyperbola) potential candidates are determined. These candidates are first rotated so as to make major axis in the x-axis direction, and then classified as polyp or non-polyp by SVM classifier which is trained separately for ellipse and hyperbola with HOG features.

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Paper citation in several formats:
Agrahari, H.; Iwahori, Y.; K. Bhuyan, M.; Ghorai, S.; Kohli, H.; J. Woodham, R. and Kasugai, K. (2014). Automatic Polyp Detection using DSC Edge Detector and HOG Features.In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, ISSN 2184-4313, pages 495-501. DOI: 10.5220/0004756104950501

@conference{icpram14,
author={Himanshu Agrahari. and Yuji Iwahori. and M. K. Bhuyan. and Somnath Ghorai. and Himanshu Kohli. and Robert J. Woodham. and Kunio Kasugai.},
title={Automatic Polyp Detection using DSC Edge Detector and HOG Features},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={495-501},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004756104950501},
isbn={978-989-758-018-5},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Automatic Polyp Detection using DSC Edge Detector and HOG Features
SN - 978-989-758-018-5
AU - Agrahari, H.
AU - Iwahori, Y.
AU - K. Bhuyan, M.
AU - Ghorai, S.
AU - Kohli, H.
AU - J. Woodham, R.
AU - Kasugai, K.
PY - 2014
SP - 495
EP - 501
DO - 10.5220/0004756104950501

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