A Research Of 3D Dental Model Data Processing Technology Based On Grid Segmentation

Segmentation technology is an important research topic in geometric processing and computer graphics.It was initially mainly used for the segmentation of two-dimensional images,especially medical images.However,with the development of 3D scanning technology and graphic image processing technology,the application field of segmentation technology is continuously expanding.From 2D image segmentation to 3D mesh model segmentation,graphic image segmentation has gradually become an indispensable technology for computer-assisted orthodontic treatment.Based on the actual clinical needs of children’s orthodontics,this article aims to propose a highly automated algorithm for segmenting the three-dimensional dental and jaw model data,accurately segment the dental and jaw model into two parts of each tooth and gums,reduce labor time costs,and improve the accuracy and accuracy of treatment effect assessment Precision.The core of the segmentation of the 3D dental jaw mesh model is to find the characteristic relationship between teeth and gums,and each tooth,and use the characteristic relationship between them as a clue for segmentation.After obtaining the dental jaw mesh model data through 3D scanning,this article uses a method based on concave perception to find the transition area between teeth and gums in the dental jaw model.This transition area is optimized using mathematical morphology to segment the whole tooth and gum,and then divide the whole tooth into a single tooth by finding the dividing line of each tooth.Specifically,the work of this paper is mainly divided into three parts:1)Positioning of the transition area between teeth and gums: The local quadric surface fitting method is used to estimate the curvature of each point in the three-dimensional dental jaw model,and the depression is used to locate the transition area between teeth and gums;2)Tooth and gingival segmentation: The transition area between the positioned tooth and gingiva is closed,and the region is refined into a single-point width dividing line by the skeleton extraction method.Finally,the Union-Find algorithm is applied to the dental jaw model to segment the teeth and gums;3)Segmentation between teeth: After segmenting all the teeth,we lower the dimensions,refine and fit the whole tooth to obtain an arch line,and then use the arch line and tooth dividing line to identify the two sharp points between each tooth and use the arch line to classify and match.Then,the distance field is constructed for the overall three-dimensional dental jaw model.In this distance field,an improved Dijkstra algorithm is used to find the shortest path between two sharp points,and the shortest path is used as the dividing line between the teeth to obtain a single tooth.The three-dimensional dental jaw model segmentation system based on this scheme designed and implemented in this paper realizes the segmentation of teeth and gums,and between teeth.System experiments show that the key technology of the three-dimensional dental jaw model segmentation proposed in this paper realizes the highly automated segmentation and extraction of teeth,improves the efficiency,accuracy and accuracy of curative effect evaluation,and has strong clinical applicability.It will play an active and important role in the correction of jaw deformities.