Vision based fruit sorting system using measures of fuzziness and degree of matching
學年 83
學期 1
發表日期 1994-10-01
作品名稱 Vision based fruit sorting system using measures of fuzziness and degree of matching
作品名稱(其他語言)
著者 Lin, Sinn-cheng; Chen, Yung-yaw
作品所屬單位 淡江大學資訊與圖書館學系
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會議名稱
會議地點
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.
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語言 en
收錄於
會議性質
校內研討會地點
研討會時間
通訊作者
國別
公開徵稿
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出處 IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX , USA
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