• DocumentCode
    123456
  • Title

    MEMS chip quality detection by fast image matching method

  • Author

    Lin Lin ; Liu Zhen

  • Author_Institution
    Machinery& Electr. Dept., Xiamen Ocean Vocational Coll., Xiamen, China
  • fYear
    2014
  • fDate
    22-24 Aug. 2014
  • Firstpage
    635
  • Lastpage
    639
  • Abstract
    Chip quality detection is one of the important procedures before the picking up operation of chip by mounter. Fast image matching method was proposed to conduct the quality inspection of micro-electromechanical systems (MEMS) chip. The advantages and disadvantages of gray projection based matching algorithm were analyzed. Then a compound projective feature matching method was put forward. VC based algorithm was given to achieve compound projective feature matching method. Compared with the traditional gray matching algorithm and the normalized cross-correlation algorithm, the ability to match and the match time of the proposed matching method were studied. Contrast with single direction of projection matching method, the matching accuracy of the given matching method was tested. Meanwhile the matching ability of proposed algorithm was test for a small angle rotation of image. Finally, the compound projection-based matching method was used to detect the quality of the MEMS chip, and the practicality of the proposed method in terms of time and accuracy were verified by experimental results.
  • Keywords
    image matching; micromechanical devices; test equipment; MEMS chip quality detection; compound projective feature matching method; cross-correlation algorithm; fast image matching method; gray projection based matching algorithm; microelectromechanical systems; Computers; Educational institutions; Manganese; Micromechanical devices; Real-time systems; Silicon; Image matching; MEMS chip detection; Template matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2014 9th International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4799-2949-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2014.6926539
  • Filename
    6926539