  Apricot which is a cultivated type of Zerdali (wild apricot) has an important
place in human nutrition and its medical properties are essential for human
health. The objective of this research was to obtain a model for apricot mass
and separate apricot variety with image processing technology using external
features of apricot fruit. In this study, five verities of apricot were used.
In order to determine the size of the fruits, three mutually perpendicular axes
were defined, length, width, and thickness. Measurements show that the effect
of variety on all properties was statistically significant at the 1%
probability level. Furthermore, there is no significant difference between the
estimated dimensions by image processing approach and the actual dimensions.
The developed system consists of a digital camera, a light diffusion chamber, a
distance adjustment pedestal, and a personal computer. Images taken by the
digital camera were stored as (RGB) for further analysis. The images were taken
for a number of 49 samples of each cultivar in three directions. A linear
equation is recommended to calculate the apricot mass based on the length and
the width with R 2 = 0.97. In addition, ANFIS model with C-means was the best
model for classifying the apricot varieties based on the physical features
including length, width, thickness, mass, and projected area of three
perpendicular surfaces. The accuracy of the model was 87.7.
