The size of sweet cherries is an important indicator of ripeness and quality. However, as a manual process heavily relying on individual judgment, the operation is labor intensive and subjective. A machine vision system was developed. Three methods were used to measure cheery size. Tests showed that standard deviation was 0.48mm by using ellipse fitting method. This method was better than others, such as circle fitting method and rotation searching method.