Paper Abstract and Keywords |
Presentation |
2022-02-21 13:15
A Note on Improvement of Accuracy in Classification of Distress Images for Efficient Inspection of Road Structures
-- Introduction of Ratio of Similar Cases Based on Text Data -- Taisei Hirakawa, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a method for correcting the results of distress image classification using text data recorded during the inspection. In the proposed method, the combination of the text data and the deterioration level of the target image is analyzed to see whether the combination of the text data and the result of the target image is different from the past trend. If it is different from the past trend, we set a threshold for the content of text data that are similar to the text data of the target image, and narrow down the candidates for correction. Finally, we correct the classification results by using the correction candidates as the classification results. In the last part of this paper, we demonstrate the effectiveness of the proposed method through experiments using actual distress images and their corresponding text data for several distress image classification methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Distress image / Deterioration classification / Text data / / / / / |
Reference Info. |
ITE Tech. Rep., vol. 46, no. 6, ME2022-33, pp. 43-48, Feb. 2022. |
Paper # |
ME2022-33 |
Date of Issue |
2022-02-14 (MMS, ME, AIT) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
AIT ME MMS IEICE-IE IEICE-ITS |
Conference Date |
2022-02-21 - 2022-02-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
ME |
Conference Code |
2022-02-AIT-ME-MMS-IE-ITS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Note on Improvement of Accuracy in Classification of Distress Images for Efficient Inspection of Road Structures |
Sub Title (in English) |
Introduction of Ratio of Similar Cases Based on Text Data |
Keyword(1) |
Distress image |
Keyword(2) |
Deterioration classification |
Keyword(3) |
Text data |
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1st Author's Name |
Taisei Hirakawa |
1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
2nd Author's Name |
Naoki Ogawa |
2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
3rd Author's Name |
Keisuke Maeda |
3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
4th Author's Name |
Takahiro Ogawa |
4th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
5th Author's Name |
Miki Haseyama |
5th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-02-21 13:15:00 |
Presentation Time |
15 minutes |
Registration for |
ME |
Paper # |
MMS2022-8, ME2022-33, AIT2022-8 |
Volume (vol) |
vol.46 |
Number (no) |
no.6 |
Page |
pp.43-48 |
#Pages |
6 |
Date of Issue |
2022-02-14 (MMS, ME, AIT) |