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Authors: Mayank Golhar 1 ; Yuji Iwahori 2 ; M. K. Bhuyan 1 ; Kenji Funahashi 3 and Kunio Kasugai 4

Affiliations: 1 Indian Institute of Technology Guwahati, India ; 2 Chubu University, Japan ; 3 Nagoya Insutitute of Technology, Japan ; 4 Aichi Medical University, Japan

ISBN: 978-989-758-222-6

Keyword(s): Endoscopy, Scene Classification, SVM, Blood Vessel, Frangi Vesselness.

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

Abstract: This paper proposes a model for blood vessel detection in endoscopic images. A novel SVM-based scene classification of endoscopic images is used. This SVM-based model classifies images into four classes on the basis of dye content and blood vessel presence in the scene, using various colour, edge and texture based features. After classification, a vessel extraction method is proposed which is based on the Frangi vesselness approach. In original Frangi Vesselness results, it is observed that many non-blood vessel edges are inaccurately detected as blood vessels. So, two additions are proposed, background subtraction and a novel dissimilarity-detecting filtering procedure, which are able to discriminate between blood vessel and non-blood vessel edges by exploiting the symmetric nature property of blood vessels. It was found that the proposed approach gave better accuracy of blood vessel extraction when compared with the vanilla Frangi Vesselness approach and BCOSFIRE filter, another sta te-of-art vessel delineation approach. (More)

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Paper citation in several formats:
Golhar, M.; Iwahori , Y.; K. Bhuyan, M.; Funahashi, K. and Kasugai, K. (2017). A Robust Method for Blood Vessel Extraction in Endoscopic Images with SVM-based Scene Classification.In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 148-156. DOI: 10.5220/0006192601480156

@conference{icpram17,
author={Mayank Golhar. and Yuji Iwahori . and M. K. Bhuyan. and Kenji Funahashi. and Kunio Kasugai.},
title={A Robust Method for Blood Vessel Extraction in Endoscopic Images with SVM-based Scene Classification},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={148-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006192601480156},
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 - A Robust Method for Blood Vessel Extraction in Endoscopic Images with SVM-based Scene Classification
SN - 978-989-758-222-6
AU - Golhar, M.
AU - Iwahori , Y.
AU - K. Bhuyan, M.
AU - Funahashi, K.
AU - Kasugai, K.
PY - 2017
SP - 148
EP - 156
DO - 10.5220/0006192601480156

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