A NOVEL VISION USING IMAGING ANALYSIS FOR TOMATO QUALITY DETECTION | ||||
| Misr Journal of Agricultural Engineering | ||||
| Article 21, Volume 32, Issue 2, April 2015, Page 755-770 PDF (1.12 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjae.2015.98635 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Ahmed T. Taha1; Aya Gharib2 | ||||
| 1Assistant Prof of Agric. Eng. Dep., Fac. of Agric., Minoufiya Univ., Egypt. | ||||
| 2Post graduate student, Egypt. | ||||
| Abstract | ||||
| The quality of products is very important for the human health. Sorting tons of fruits and vegetables manually is a slow, costly, and an inaccurate process. The objective of this study was to develop a computer vision and image analysis program to serve as a simple and suitable technique for external fruit inspection and for predicting orange fruits maturity through the image analysis technique. The MATLAB software package was used image processing tools to analysis image of tomato. The study also investigated the effectiveness of some color bands, average intensity of RGB bands and HSI. The results revealed that the computer vision and image analysis program could be used to differentiate tomato maturity stages. The results also showed that there is a strong response between both RGB band and HSI of tomato fruits and maturity stage also storage period during 21 days. Automatic sorting of food products is an important process to get high quality food. Vision based sorting system is an accurate and fast process compared to manual sorting. The accuracy of this system can be improved by increasing the dataset of images. | ||||
| Keywords | ||||
| Image analysis; food quality control; computer vision; Saturation; Hue; RGB mode; Intensity; Maturity | ||||
| References | ||||
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