Performance of active contour models in train rolling stock part segmentation on high-speed video data
Rolling stock examination is performed to identify the defects during train movements at speeds <30 kmph. In this study, this process was automated using computer vision models. Parts on a moving train were segmented using four types of active contour-level set models: Chan–Vese (CV), CV-based mo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2017-01-01
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| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23311916.2017.1279367 |