淡江資訊與圖書館學系專任教師

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標題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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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.

關鍵字

語言英文

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校內研討會地點

研討會時間

通訊作者

國別

公開徵稿

出版型式

出處IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX , USA

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