Evolving PCB visual inspection programs using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Xie:2013:IVCNZ,
  author =       "Feng Xie and Anh Hoang Dau and 
                 Alexandra L. Uitdenbogerd and Andy Song",
  booktitle =    "28th International Conference of Image and Vision
                 Computing New Zealand (IVCNZ 2013)",
  title =        "Evolving PCB visual inspection programs using genetic
                 programming",
  year =         "2013",
  month =        nov,
  pages =        "406--411",
  keywords =     "genetic algorithms, genetic programming, machine
                 vision, defect detection, printed circuit board,
                 automatic optical inspection",
  DOI =          "doi:10.1109/IVCNZ.2013.6727049",
  ISSN =         "2151-2191",
  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.",
  notes =        "Also known as \cite{6727049}",
}

Genetic Programming entries for Feng Xie Anh Hoang Dau Alexandra L Uitdenbogerd Andy Song

Citations