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Authors: Sun-Hee Weon ; Sung-Il Joo and Hyung Il Choi

Affiliation: Soongsil University, Korea, Republic of

Keyword(s): Pavement Segmentation, LBP, GLCM, Texture Segmentation, Visually Impaired Person.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Segmentation and Grouping

Abstract: This paper proposes about a method for region segmentation and texture extraction to classify pavement and roadway region in the image that acquired from cameras equipped to the visually impaired person during a walk. First, detect a road boundary line through the line detections technique using the Hough transform, and obtain candidate regions of pavement and roadway. Second, extract texture feature in segmented candidate region, and separated pavement and roadway regions as classified three levels according to perspective scope in triangular model. In this paper, used rotation invariant LBP and GLCM to compare the difference of texture feature that pavement with various precast pavers and relatively a roadway being monotonous. Proposed method in this paper was verified that the analytical performance nighttime did not deteriorate in comparison with the results from the daytime, and region segmentation performance was very well in complex image has various obstacles and pedestrians.

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Paper citation in several formats:
Weon, S.; Joo, S. and Choi, H. (2012). PAVEMENT TEXTURE SEGMENTATION USING LBP AND GLCM FOR VISUALLY IMPAIRED PERSON. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 335-340. DOI: 10.5220/0003826903350340

@conference{visapp12,
author={Sun{-}Hee Weon. and Sung{-}Il Joo. and Hyung Il Choi.},
title={PAVEMENT TEXTURE SEGMENTATION USING LBP AND GLCM FOR VISUALLY IMPAIRED PERSON},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={335-340},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003826903350340},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - PAVEMENT TEXTURE SEGMENTATION USING LBP AND GLCM FOR VISUALLY IMPAIRED PERSON
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Weon, S.
AU - Joo, S.
AU - Choi, H.
PY - 2012
SP - 335
EP - 340
DO - 10.5220/0003826903350340
PB - SciTePress