AUTOMATIC CLASSIFICATION USING IMAGE PROCESSING TECHNIQUE IN MATLAB FOR ORANGE FRUITS | ||||
| Misr Journal of Agricultural Engineering | ||||
| Article 4, Volume 38, Issue 1, January 2021, Page 37-48 PDF (593.44 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjae.2020.52363.1017 | ||||
 View on SCiNiTO | ||||
| Author | ||||
M. A. M. Mayhoub 
| ||||
| Assist. Prof., Ag. Eng. Dept., Fac. of Ag., Ain Shams U., Cairo, Egypt. | ||||
| Abstract | ||||
| 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 | ||||
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