DocumentCode :
155797
Title :
Machine vision based automatic fruit grading system using fuzzy algorithm
Author :
Nandi, Chandra Sekhar ; Tudu, B. ; Koley, C.
Author_Institution :
Inst. of Technol., Univ. of Burdwan, Burdwan, India
fYear :
2014
fDate :
Jan. 31 2014-Feb. 2 2014
Firstpage :
26
Lastpage :
30
Abstract :
The present paper proposes a machine vision based scheme for automatic grading of fruits according to their maturity level and quality. The fruit used in the study is mango (Mangifera Indica L.). The manual grading by visual inspection poses problems in maintaining consistency and accuracy; this is also time consuming and labor intensive process. In this project a new prototype computer vision based automatic fruit grading systems is proposed. The automated system collects video image from the CCD camera placed on the top of a conveyer belt carrying mangoes, then it processes the images in order to collect several relevant features which are sensitive to the maturity level and quality. Finally fuzzy rule based algorithm is used to sort the fruits into four grades.
Keywords :
agricultural products; computer vision; food products; CCD camera; Mangifera Indica L; computer vision; conveyer belt carrying mangoes; fuzzy algorithm; fuzzy rule based algorithm; labor intensive process; machine vision based automatic fruit grading system; machine vision based scheme; maturity level; video image; visual inspection; Cameras; Computer vision; Feature extraction; Image color analysis; Inspection; Machine vision; Visualization; computer vision; fruit grading; fuzzy; maturity; quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
Conference_Location :
Calcutta
Type :
conf
DOI :
10.1109/CIEC.2014.6959043
Filename :
6959043
Link To Document :
بازگشت