Controllable Edge Feature Sharpening for Dental Applications
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-07
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Fan, Ran& Jin, Xiaogang. 2014. Controllable Edge Feature Sharpening for Dental Applications. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-505211
Modern Language Association (MLA)
Fan, Ran& Jin, Xiaogang. Controllable Edge Feature Sharpening for Dental Applications. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-505211
American Medical Association (AMA)
Fan, Ran& Jin, Xiaogang. Controllable Edge Feature Sharpening for Dental Applications. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-505211
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505211