Wheat is one of the most important foods in the world. Classification of different wheat varieties and determination of quality parameters of wheat are an important challenge for the food grain industry all over the world. In the recent years, image processing technique as a none-destructive, rapid and automated method has acceptable accuracy of classification and qualification of wheat. In this review, recent research about classification of different varieties, damaged and sprouted kernels detection and vitreous and none-vitreous kernels detection of wheat by using image processing technique were collected. The results of different researches, shows high efficiency of machine vision technique.

Keywords : wheatt; image processing; machine vision; classification; vitreous.