Detection Of Road Cracks Using Convolutional Neural Networks And Threshold Segmentation

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SKU
105003800000692
Kode Buku
:
Nama Pengarang
:
Arselan Ashraf , Ali Sophian, Amir Akramin Shafie, Teddy Surya Gunawan , Norfarah Nadia Ismail, Ali Aryo Bawono
Nama Penerbit
:
Journal of Integrated and Advanced Engineering (JIAE)
Tahun Terbit
:
September 2022
Jenis Buku
:
Buku Elektronik

Automatic road crack detection is a vital transportation maintenance responsibility for ensuring driving comfort and safety. However, manual inspection is considered risky because it is time-consuming, costly, and dangerous for inspectors. Automated road crack detecting techniques have been extensively researched and developed in order to overcome this issue

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Detection Of Road Cracks Using Convolutional Neural Networks And Threshold Segmentation

Automatic road crack detection is a vital transportation maintenance responsibility for ensuring driving comfort and safety. However, manual inspection is considered risky because it is time-consuming, costly, and dangerous for inspectors. Automated road crack detecting techniques have been extensively researched and developed in order to overcome this issue