Aiming at problem of poor efficiency and low accuracy of manual operation of sorting the touching wolfberry

a touching wolfberry classification method based on morphological watershed and regional area weighted is proposed. Morphological operation is used for touching wolfberry image pre-processing to eliminate noise interference caused by drying or basking

remain the position of the region outline unchanged while eliminating irregular edges as much as possible; the watershed algorithm is used for image segmentation that has been marked the minimum region. According to the red（ R） component distribution of the single wolfberry in the image

the mildew wolfberry particles will be removed

and through area mark algorithm

particles area of the normal binary wolfberry image will be labeled

and using Hotelling algorithm to obtain length-width ratio of particles; using the length-width ratio as weighting of area for cluster analysis after weighting correction

it is divided into three kinds.The experimental results show that this method can classify different sizes of touching wolfberry more quickly and accurately.