Title page for etd-0731106-135611


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URN etd-0731106-135611
Author Huan-kai Hung
Author's Email Address No Public.
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Department Mechanical and Electro-Mechanical Engineering
Year 2005
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title A Computer-assisted Trademark Retrieval System with Zernike Moment and Image Compactness Indices
Date of Defense 2006-07-05
Page Count 103
Keyword
  • trademark
  • compactness
  • Zernike moment
  • Abstract The need of finding a way to design a company trademark, without the worry of possible infringement on the intellectual property rights, has become exceedingly important as the economy and the accompanying intellectual property concerns advanced greatly in recent years.
    Traditionally, registered trademarks are stored in image databases and are categorized and retrieved by descriptions and keywords given by human workers. This is extremely time-consuming and considered by many as inappropriate. In this work we focus on image feature and content related techniques, or content-based image retrieval (CBIR) methods.
    Nevertheless, we still need human inputs since by law the most crucial basis for discerning the similarity or difference of two trademarks has to rely on human’s naked eye. Therefore in this work we created a program which incorporates an man-machine interface allowing users to input various weighting factors each emphasizing a specific feature or shape of the trademark. The Zernike moments, and some new image compactness indices are used in the computations for image comparisons.
    Advisory Committee
  • Chen-Wen Yen - chair
  • Chi-Cheng Cheng - co-chair
  • Innchyn Her - advisor
  • Files
  • etd-0731106-135611.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2006-07-31

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