Vision based fruit sorting system using measures of fuzziness and degree of matching
Resource
Systems, Man, and Cybernetics, 1994. 'Humans, Information and Technology'., 1994 IEEE International Conference on
Journal
1994 IEEE International Conference on Systems, Man, and Cybernetics
Pages
2600-2604
Date Issued
1994-10
Date
1994-10
Author(s)
DOI
N/A
Abstract
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.>
Type
journal article
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