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Authors: Yuji Iwahori 1 ; Hiroaki Hagi 1 ; Hiroyasu Usami 1 ; Robert J. Woodham 2 ; Aili Wang 3 ; M. K. Bhuyan 4 and Kunio Kasugai 5

Affiliations: 1 Chubu University, Japan ; 2 University of British Columbia, Canada ; 3 Harbin University of Science and Technology, China ; 4 Indian Institute of Technology Guwahati, India ; 5 Aichi Medical University, Japan

ISBN: 978-989-758-222-6

Keyword(s): Polyp Detection, Endoscope Image, Likelihood, HOG, Random Forests.

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

Abstract: An endoscope is a medical instrument that acquires images inside the human body. This paper proposes a new approach for the automatic detection of polyp regions in an endoscope image by generating a likelihood map with both of edge and color information to obtain high accuracy so that probability becomes high at around polyp candidate region. Next, Histograms of Oriented Gradients (HOG) features are extracted from the detected region and random forests are applied for the classification to judge whether the detected region is polyp region or not. It is shown that the proposed approach has high accuracy for the polyp detection and the usefulness is confirmed through the computer experiments with endoscope images.

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Paper citation in several formats:
Iwahori Y., Hagi H., Usami H., Woodham R., Wang A., Bhuyan M. and Kasugai K. (2017). Automatic Polyp Detection from Endoscope Image using Likelihood Map based on Edge Information.In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 402-409. DOI: 10.5220/0006189704020409

@conference{icpram17,
author={Yuji Iwahori and Hiroaki Hagi and Hiroyasu Usami and Robert J. Woodham and Aili Wang and M. K. Bhuyan and Kunio Kasugai},
title={Automatic Polyp Detection from Endoscope Image using Likelihood Map based on Edge Information},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={402-409},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006189704020409},
isbn={978-989-758-222-6},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Automatic Polyp Detection from Endoscope Image using Likelihood Map based on Edge Information
SN - 978-989-758-222-6
AU - Iwahori Y.
AU - Hagi H.
AU - Usami H.
AU - Woodham R.
AU - Wang A.
AU - Bhuyan M.
AU - Kasugai K.
PY - 2017
SP - 402
EP - 409
DO - 10.5220/0006189704020409

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