Evolving PCB visual inspection programs using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Xie:2013:IVCNZ,
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author = "Feng Xie and Anh Hoang Dau and
Alexandra L. Uitdenbogerd and Andy Song",
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booktitle = "28th International Conference of Image and Vision
Computing New Zealand (IVCNZ 2013)",
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title = "Evolving PCB visual inspection programs using genetic
programming",
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year = "2013",
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month = nov,
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pages = "406--411",
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keywords = "genetic algorithms, genetic programming, machine
vision, defect detection, printed circuit board,
automatic optical inspection",
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DOI = "doi:10.1109/IVCNZ.2013.6727049",
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ISSN = "2151-2191",
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abstract = "Automated optical inspection (AOI) is desirable in
printed circuit board (PCB) manufacturing as inspecting
manually is time-consuming and error-prone. This paper
presents a study on evolving an AOI program with
Genetic-Programming (GP), an evolution-inspired
technique. Using a GP-based approach, domain knowledge
such as board design and lighting conditions are not
required. Conventional feature extraction processes can
also be avoided. The result demonstrates the evolved
program capability to detect flaws under varied
scenarios. Furthermore, it can be readily applied on
different types of images without calibration or
re-training.",
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notes = "Also known as \cite{6727049}",
- }
Genetic Programming entries for
Feng Xie
Anh Hoang Dau
Alexandra L Uitdenbogerd
Andy Song
Citations