Aiming at the problem of solder paste residue in orthodontic bracket machining

an image detection algorithm based on mathematical morphology and active contour model is proposed. Firstly

the red green blue（ RGB） color image is processed by R-B grayscale

and the grayscale image is segmented by thresholding.Secondly

the binary image is operated by mathematical morphology to remove noise and extract the color image of bracket region. Hue saturation value（ HSV） transformation of bracket color map is carried out

and H component is segmented by active contour model. The bracket is used as the initial segmentation range and the cyclic voltammetry（ CV） model is used to separate the solder paste. The experimental results show that the proposed algorithm has strong target localization ability and can extract solder paste target well. similarity degree（ SD）

Dice

error rate（ ER） and neglection rate（ NR） are 83. 41 %

90. 96 %

16. 97 % and 2. 43 %

respectively.