DEEP LEARNING AND RANDOM FOREST BASED CRACK DETECTION FROM AN IMAGE OF CONCRETE SURFACE
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Publisher
Japan Society of Civil Engineers
Link
https://www.jstage.jst.go.jp/article/jscejcei/73/2/73_I_297/_pdf
Reference17 articles.
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3. 10) Hutchinson, T. C. and Chen, Z. : Improved Image Analysis for Evaluating Concrete Damage, Journal of Computing in Civil Engineering, Vol. 20, No. 3, pp. 210-216, 2006.
4. 11) Abdel-Qader, I., Abudayyeh, O., and Kelly, M. : Analysis of Edge-Detection Techniques for Crack Identification in Bridges, Journal of Computing in Civil Engineering, Vol. 17, No. 4, pp. 255-263, 2003.
5. 12) Iyer, S. and Sinha, S. K. : Segmentation of Pipe Images for Crack Detection in Buried Sewers, Computer-Aided Civil and Infrastructure Engineering, Vol. 21, No. 6, pp. 395-410, 2006.
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