Method suitable for segmenting dental triangle mesh curved surface from dental jaw triangle mesh curved surface

Abstract

The invention belongs to the technical field of model segmentation in digital geometry processing, and discloses a method suitable for segmenting a dental triangle mesh curved surface from a dental jaw triangle mesh curved surface. The method integrates the three advantages of accuracy, high efficiency and smooth boundary, and finally realizes segmentation of the dental triangle mesh curved surface by the operations of interactive pickup of a dental jaw area to be segmented, primary segmentation of the increased area, automatic generation and accurate positioning of a spatial control curve, generation of segmentation line projection, smooth optimization of a segmentation line and the like.

Description

Technical field [0001] The invention involves the model segmentation technology in digital geometry processing, and proposes a method that is suitable for dividing the teeth triangular mesh surface from the tooth jaw triangle mesh surface. Background technique [0002] In recent years, the oral CAD orthodontic system has developed rapidly, and the new type of oral computer -aided therapy system composed of various comprehensive use of scanning technology and digital geometry processing has emerged endlessly.The two most typical systems are Orthocad and INVISALIGN stealth correction systems.The typical mode of the oral computer auxiliary therapy system is to scan the plaster model through optical methods to obtain the three -dimensional data of the tooth jaw, and then use the digital geometry processing technology to separate the tooth gum data, repair the teeth, and finally design the correction scheme.Tooth segmentation is the basic function of the oral computer auxiliary therap...

AI Technical Summary

Problems solved by technology

Isolating individual teeth quickly and precisely can be difficult as teeth have different shapes and can vary greatly from one individual to another

[0003] In 2004, Kondo used two distance images to identify the split boundary of two adjacent teeth. This method transformed the three-dimensional space problem into an image problem, but the method finally used a plane To clip the tooth data, it is impossible to accurately locate the tooth and gum boundaries, see Toshiaki Kondo, S.H.Ong, Kelvin W.C.Foong. Tooth segmentation of dental study models using range images. IEEE Transactions on Medical Imaging, 2004, 23(3): 350-362. Hao Guodong et al. calculated the curvature of the vertices of the triangular mesh, screened out the feature area according to the curvature value of the vertex, and connected the feature area interactively by the user, and then performed morphological operations on the feature area to obtain the skeleton line of the feature area. According to the obtained skeleton line, the tooth precisely separate out

The former cannot obtain smooth and accurate segmentation boundaries, while the latter requires too much user interaction and inefficiency

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