書誌事項
- タイトル別名
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- Crack detection from an image of concrete surface based on semantic segmentation by deep learning
- Deep learning ニ ヨル Semantic Segmentation オ モチイタ コンクリート ヒョウメン ヒビワレ ノ ケンシュツ
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抄録
<p>Due to their wide applicability in inspection of concrete structures, there is considerable interest in the development of automated crack detection method by image processing. However, the accuracy of existing methods tends to be influenced by the existence of traces of tie-rod holes and formworks. In order to reduce these influences, this paper propose a crack detection method based on semantic segmentation by deep learning. The accuracy of developed method is investigated by the photos of concrete structures with lots of adverse conditions including shadow and dirt, and it is found that not only the crack region could be detected but also the trace of tie-rod holes and formworks could be removed from the detection result with high accuracy.</p>
収録刊行物
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- 構造工学論文集 A
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構造工学論文集 A 65A (0), 130-138, 2019-03-15
公益社団法人 土木学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390846609799687680
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- NII論文ID
- 130007791131
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- NII書誌ID
- AA12210243
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- ISSN
- 18816614
- 1881820X
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- NDL書誌ID
- 029660869
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可