Image recognition-based tooth preparation quality evaluation method and system

Abstract

The present application relates to the technical field of image analysis, in particular to a tooth preparation quality evaluation method and system based on image recognition. In the present application, the three-dimensional morphology of the tooth preparation area is reconstructed by point cloud, the morphological characteristics of the tooth surface are accurately obtained, and the integrity and fineness of the data are ensured. Combined with the light intensity reflection calculation of the illumination angle, the matching degree of the point cloud data is improved, and the tooth surface information is more accurate. Based on curvature gradient analysis, the local change trend in the preparation area is identified, and the morphological details of different areas are more sensitive to capture. The screening mechanism of depth deviation distribution enhances the accuracy of regional deviation, making the morphological measurement more stable. The calculation method of normal vector establishes an analysis model through the spatial distribution of regional angle deviation, ensures that the surface deviation can be compared according to the true anatomical morphology, and makes the evaluation of tooth preparation quality more in line with physiological needs.

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