0.5s。A method using intensity and color information for separating adjoined apples was proposed. First, Lab model was employed to segment the apple images, followed by each segmented area was calculated to judge whether they were adjoined area or not. Then the intensity information was added to the adjoined area, and the light spot of apple was used to separate the adjoined apples. Thus, the noise from intensity information was screened by the Lab information in the area besides adjoined apples, and the adjoined apples was segmented using the unique intensity information in the adjoined area. The result of segmentation showed that the success rate is over 92.89%. It is useful to use the algorithm in practical recognition of apple fruits.