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Therefore, the segmentation of the tongue image not only can effectively filter out california marketplace insurance interference of background information but also has great significance for the subsequent classifier training. However, there are many challenges insurnce tongue insurajce segmentation.

The main challenge is that the tongue color is similar to the color of the california marketplace insurance and face, making it difficult to segment the tongue from face and lips. The existing approaches for tongue image segmentation can be divided into two types: one based on traditional image processing technology and the other based on deep learning.

In the early research, manual segmentation and automatic segmentation algorithms were used read article segment the tongue area. Some methods employed the techniques of the adaptive threshold [ 44 ], region growing and merging [ 45 ], and edge detection [ 46 markerplace, 47 ] to segment the tongue body from california marketplace insurance images.