Semantic Scholar Open Access 2019 31 sitasi

Automatic Detection of Rail Surface Cracks with a Superpixel-Based Data-Driven Framework

Long Wang Zhuang Li Zijun Zhang

Abstrak

AbstractA bilevel superpixel-based framework for the vision inspection of rail conditions and automatically detecting rail surface cracks is proposed in this paper. The simple linear iterative clus...

Topik & Kata Kunci

Computer Science

Penulis (3)

Long Wang

Zhuang Li

Zijun Zhang

Format Sitasi

APA MLA BibTeX

Wang, L., Li, Z., Zhang, Z. (2019). Automatic Detection of Rail Surface Cracks with a Superpixel-Based Data-Driven Framework. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000799

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 31×
Sumber Database: Semantic Scholar
DOI: 10.1061/(ASCE)CP.1943-5487.0000799
Akses: Open Access ✓