A Method of Automatically Segmenting Triangular Mesh Model of Full Jaw Teeth

Abstract

The invention discloses a method for automatically segmenting a triangular mesh model of full-jaw teeth. Find the average curvature and mean square deviation curvature of each mesh vertex; obtain boundary feature points and boundary feature areas; separate the dental triangular mesh model into multiple independent mesh areas and distinguish them; mark the gingival area with different numbers and the tooth area; use the region growth calculation method to obtain accurate segmentation results; sort the teeth according to the geodesic distance from other teeth to the last molar and incisor sequentially; remove burrs, delete everted patches, and use laplacian smoothing method After processing, the narrow and long triangle faces are removed to realize the segmentation of the final dental and jaw triangular mesh model. The present invention utilizes the curvature distribution of the triangular mesh model to preliminarily segment the tooth model; utilizes the region growing method to precisely cut the tooth model; smoothes the rough boundary and valgus phenomenon; achieves rapid and automatic tooth segmentation Purpose, precise and smooth segmentation.

Description

technical field [0001] The present invention relates to the grid segmentation technology in the field of digital geometry processing, in particular to a method for automatically segmenting the triangular mesh model of full-jaw teeth, which is suitable for quickly and automatically segmenting the tooth triangular mesh surface from the dental triangular mesh surface . Background technique [0002] In recent years, digital oral technology has developed rapidly, and invisible orthodontics have gradually become popular. The job to be done by the digital treatment assistant system is to establish a tooth model and provide data support for the design of the treatment plan. To establish an accurate tooth model, it is first necessary to scan the plaster model through optical methods to obtain three-dimensional data of the teeth and jaws, and then use digital geometry processing technology to separate the data of the teeth and gums, and repair the missing parts of the teeth to establ...

AI Technical Summary

Problems solved by technology

Although Liao et al. segmented all teeth at once using a consistent harmonic field, the accuracy of the method still relies on human interaction

[0006] In short, the existing methods of segmenting the tooth triangular mesh model from the dental triangular mesh model have various defects in the application, mainly manifested in low precision, low efficiency and complicated interaction

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