Title :
Vision based fruit sorting system using measures of fuzziness and degree of matching
Author :
Chang, Wen-Hung ; Chen, Suming ; Lin, Sinn-Cheng ; Huang, Pai-Yi ; Chen, Yung-Yaw
Author_Institution :
Dept. of Agric. Machinery Eng., Nat. Taiwan Univ., Taipei, Taiwan
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
Keywords :
computer vision; fuzzy systems; image classification; image matching; materials handling; robots; color classification; fruit images; fruit sorting system; fuzzy system; machine vision; optimal thresholding values; robots; size classification; Agricultural engineering; Agricultural machinery; Brightness; Image segmentation; Machine vision; Minimization methods; Pixel; Sorting; Statistical analysis; Turning;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.400263
