Comput Math Methods Med - Controllable edge feature sharpening for dental applications.

Tópicos

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Resumo

This paper presents a new approach to sharpen blurred edge features in scanned tooth preparation surfaces generated by structured-light scanners. It aims to efficiently enhance the edge features so that the embedded feature lines can be easily identified in dental CAD systems, and to avoid unnatural oversharpening geometry. We first separate the feature regions using graph-cut segmentation, which does not require a user-defined threshold. Then, we filter the face normal vectors to propagate the geometry from the smooth region to the feature region. In order to control the degree of the sharpness, we propose a feature distance measure which is based on normal tensor voting. Finally, the vertex positions are updated according to the modified face normal vectors. We have applied the approach to scanned tooth preparation models. The results show that the blurred edge features are enhanced without unnatural oversharpening geometry.

Resumo Limpo

paper present new approach sharpen blur edg featur scan tooth prepar surfac generat structuredlight scanner aim effici enhanc edg featur embed featur line can easili identifi dental cad system avoid unnatur oversharpen geometri first separ featur region use graphcut segment requir userdefin threshold filter face normal vector propag geometri smooth region featur region order control degre sharp propos featur distanc measur base normal tensor vote final vertex posit updat accord modifi face normal vector appli approach scan tooth prepar model result show blur edg featur enhanc without unnatur oversharpen geometri

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