TY  - SER
AU  - Mayhoub,M.A.M.
AU  - Elhabashy,H.
TI  - Automatic classification using image processing technique in matlab for orange fruits
KW  - Oranges
KW  - Analysis
N1  - Includes bibliographic reference
N2  - This research develops an automatic algorithm for orange fruits sorting image processing technique in MATLAB (7.8) program. 
The orange fruits were acquired using a digital camera in illumination chamber. A picture handling system was produced to 
quantify the volume and size of orange fruits. Surface images of every orange, caught with an advanced camera, were used 
in the picture preparing method. An effective calculation was structured and actualized in MATLAB (7.8) programming. 
The volumes figured demonstrated great concurrence with the real volumes dictated by water displacement technique. 
The coefficient of determination "R2" of orange was more than 98%, and the size code by the MATLAB Graphical User 
Interface (GUI) for orange fruits was concurrence and fast compared to the manual method for sizing. Image processing 
strategy palatably evaluated orange volume and size. In like manner, image processing gives a precise, straightforward, 
fast, and noninvasive technique to evaluate orange fruits volume and size and can be effortlessly executed in arranging 
of orange fruits amid postharvest processing.
Keywords: Sorting, image processing, size, volume, machine vision

UR  - http://nile.enal.sci.eg/EALE/2021/MJAE/3821/1/37.pdf
ER  -