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CRACK DETECTION FROM AN IMAGE OF CONCRETE SURFACE WITH CONSIDERING STATISTICAL AND GEOMETRICAL CHARACTERISTICS
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- CHUN Pang-jo
- 愛媛大学 工学部環境建設工学科
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- KATAOKA Nozomu
- 愛媛大学大学院理工学研究科
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- MIWA Chihiro
- 愛媛大学大学院理工学研究科
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- HASHIMOTO Kazuaki
- 西日本高速道路エンジニアリング四国株式会社
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- OHGA Mitao
- 愛媛大学 工学部環境建設工学科
Bibliographic Information
- Other Title
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- 統計的特徴および幾何学的特徴に着目したコンクリート表面ひび割れの画像解析による検出
- トウケイテキ トクチョウ オヨビ キカガクテキ トクチョウ ニ チャクモク シタ コンクリート ヒョウメン ヒビワレ ノ ガゾウ カイセキ ニ ヨル ケンシュツ
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Description
In the past years there has been an extensive effort to develop an automated crack detection method by image processing to improve inspection and evaluation process of concrete structures. Though lots of crack detection methods have been proposed, these methods are seldom used at a practical inspection and visual examination is conducted to find the crack at present. Authors consider that further detection methods and knowledge should be accumulated to make the automated crack detection methods useful. As a part of the attempt of the methods and knowledge accumulation, this paper proposes crack detection methods based on statistical and geometrical approach. The accuracy of developed method is validated by the photos of concrete structures with lots of adverse conditions including shadow and dirts.
Journal
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- Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics)
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Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics) 70 (2), I_1-I_8, 2014
Japan Society of Civil Engineers