Improving machine vision crack die detection with multi-kernel learning SVM
With the rising need to produce semiconductor parts with zero defects to support the growth of the automotive industry, where safety must be assured, it is vital to perform visual inspection throughout the assembly process to isolate and detect defects. Visual inspections performed by a human have t...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2024
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| Online Access: | https://eprints.nottingham.ac.uk/76585/ |