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.