| Vision based fruit sorting system using measures of fuzziness and degree of matching | |
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| 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. |
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| 語言 | en |
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| 出處 | IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX , USA |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/53604 ) |
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