Combining Boundary and Region Information with Bolt Prior for Rail Surface Detection
Summary :
Railway inspection is important in railway maintenance. There are several tasks in railway inspection, e.g., defect detection and bolt detection. For those inspection tasks, the detection of rail surface is a fundamental and key issue. In order to detect rail defects and missing bolts, one must know the exact location of the rail surface. To deal with this problem, we propose an efficient Rail Surface Detection (RSD) algorithm that combines boundary and region information in a uniform formulation. Moreover, we reevaluate the rail location by introducing the top down information–bolt location prior. The experimental results show that the proposed algorithm can detect the rail surface efficiently.
- Publication
- IEICE TRANSACTIONS on Information Vol.E95-D No.2 pp.690-693
- Publication Date
- 2012/02/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E95.D.690
- Type of Manuscript
- LETTER
- Category
- Pattern Recognition
Authors
Keyword
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Yaping HUANG, Siwei LUO, Shengchun WANG, "Combining Boundary and Region Information with Bolt Prior for Rail Surface Detection" in IEICE TRANSACTIONS on Information,
vol. E95-D, no. 2, pp. 690-693, February 2012, doi: 10.1587/transinf.E95.D.690.
Abstract: Railway inspection is important in railway maintenance. There are several tasks in railway inspection, e.g., defect detection and bolt detection. For those inspection tasks, the detection of rail surface is a fundamental and key issue. In order to detect rail defects and missing bolts, one must know the exact location of the rail surface. To deal with this problem, we propose an efficient Rail Surface Detection (RSD) algorithm that combines boundary and region information in a uniform formulation. Moreover, we reevaluate the rail location by introducing the top down information–bolt location prior. The experimental results show that the proposed algorithm can detect the rail surface efficiently.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.690/_p
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@ARTICLE{e95-d_2_690,
author={Yaping HUANG, Siwei LUO, Shengchun WANG, },
journal={IEICE TRANSACTIONS on Information},
title={Combining Boundary and Region Information with Bolt Prior for Rail Surface Detection},
year={2012},
volume={E95-D},
number={2},
pages={690-693},
abstract={Railway inspection is important in railway maintenance. There are several tasks in railway inspection, e.g., defect detection and bolt detection. For those inspection tasks, the detection of rail surface is a fundamental and key issue. In order to detect rail defects and missing bolts, one must know the exact location of the rail surface. To deal with this problem, we propose an efficient Rail Surface Detection (RSD) algorithm that combines boundary and region information in a uniform formulation. Moreover, we reevaluate the rail location by introducing the top down information–bolt location prior. The experimental results show that the proposed algorithm can detect the rail surface efficiently.},
keywords={},
doi={10.1587/transinf.E95.D.690},
ISSN={1745-1361},
month={February},}
Copy
TY - JOUR
TI - Combining Boundary and Region Information with Bolt Prior for Rail Surface Detection
T2 - IEICE TRANSACTIONS on Information
SP - 690
EP - 693
AU - Yaping HUANG
AU - Siwei LUO
AU - Shengchun WANG
PY - 2012
DO - 10.1587/transinf.E95.D.690
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2012
AB - Railway inspection is important in railway maintenance. There are several tasks in railway inspection, e.g., defect detection and bolt detection. For those inspection tasks, the detection of rail surface is a fundamental and key issue. In order to detect rail defects and missing bolts, one must know the exact location of the rail surface. To deal with this problem, we propose an efficient Rail Surface Detection (RSD) algorithm that combines boundary and region information in a uniform formulation. Moreover, we reevaluate the rail location by introducing the top down information–bolt location prior. The experimental results show that the proposed algorithm can detect the rail surface efficiently.
ER -
English
