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淡江大學_資訊與圖書館學系

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    Seminar TitleVision based fruit sorting system using measures of fuzziness and degree of matching
    Year83
    Semester1
    Published date1994-10-01
    Seminar NameVision based fruit sorting system using measures of fuzziness and degree of matching
    Seminar Name Other
    All AuthorLin, Sinn-cheng; Chen, Yung-yaw
    The Unit Of The Conference淡江大學資訊與圖書館學系
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    SummaryFuzzy approaches were used to determine optimal thresholding values of fruit's images, and fuzzy degree of matching was applied to classify the color and size of fruit. Results showed that fuzzy method was superior to the traditional statistical methods, and a accuracy of 93.3% for combined sorting was reported. The errors due to miscategorization could thus be reduced if the fuzzy methods were used. The developed fuzzy algorithms were integrated with the machine vision guided robotic sorting system for fruits.
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    Use LangEnglish
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    ProvenanceIEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX , USA
    Address：No.151, Yingzhuan Rd., Tamsui Dist., New Taipei City 251301, Taiwan (R.O.C.)  
     Contact Information
    • Undergraduate assistant：Mrs. Chen
    • Tel：( 02 ) 2621-5656 Ext. 2335
    • Email：tabx@oa.tku.edu.tw
    • Graduate assistant：Mrs. Chou
    • Tel：( 02 ) 2621-5656 Ext. 2382
    • Email：tabx@oa.tku.edu.tw
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