Department of Information and Library Science, Tamkang University Full-Time Faculty

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Conference TitleVision based fruit sorting system using measures of fuzziness and degree of matching

Year83

Semester1

Published date1994-10-01

Conference NameVision based fruit sorting system using measures of fuzziness and degree of matching

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

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