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Authors: Siwaporn Sorncharean and Suebskul Phiphobmongkol

Affiliation: Chulalongkorn University, Thailand

ISBN: 978-989-8111-69-2

Keyword(s): Image Processing, Crack Detection, Noise Removal, Asphalt Surface.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Segmentation and Grouping ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: This paper presents an image processing technique for noise removal in the intermediate stage of crack detection algorithm. Unlike noise in other domains, noise in this kind of image is unique in terms of size and dispersal. This technique is based on Newton’s theory of universal gravitation. The technique highlights noise within an image by giving low values to noise objects while giving high values to cracks, thus, making it simple to indicate an object as a noise or a crack. This method gave good results in removing noise from crack segmentation algorithm.

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Paper citation in several formats:
Sorncharean S.; Phiphobmongkol S. and (2009). NOISE REMOVAL IN CRACK DETECTION ALGORITHM ON ASPHALT SURFACE IMAGES .In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 269-272. DOI: 10.5220/0001797902690272

@conference{visapp09,
author={Siwaporn Sorncharean and Suebskul Phiphobmongkol},
title={NOISE REMOVAL IN CRACK DETECTION ALGORITHM ON ASPHALT SURFACE IMAGES },
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={269-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001797902690272},
isbn={978-989-8111-69-2},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - NOISE REMOVAL IN CRACK DETECTION ALGORITHM ON ASPHALT SURFACE IMAGES
SN - 978-989-8111-69-2
AU - Sorncharean, S.
AU - Phiphobmongkol, S.
PY - 2009
SP - 269
EP - 272
DO - 10.5220/0001797902690272

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