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    题名: Vision based fruit sorting system using measures of fuzziness and degree of matching
    作者: Lin, Sinn-cheng;Chen, Yung-yaw
    贡献者: 淡江大學資訊與圖書館學系
    日期: 1994-10
    上传时间: 2011-05-20 09:51:18 (UTC+8)
    摘要: Fuzzy 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.
    關聯: IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX , USA
    显示于类别:[資訊與圖書館學系暨研究所] 會議論文





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