Cracked concrete surface image classification on low-dimensional image using artificial intelligence algorithms
The project aims to create a Convolutional neural network (CNN) to detect and classify building cracks. Cracks are a key factor in determining how well-built a concrete structure is since they affect its sturdiness, utility, and safety. Due to its superior image processing capabilities, CNN is rapid...
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Format: | Thesis |
Language: | English |
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2022
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Online Access: | http://eprints.utm.my/id/eprint/99565/1/RashidTahaSihamMSKE2022.pdf http://eprints.utm.my/id/eprint/99565/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149745 |
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