Distortion Correction of Laryngoscopic Images
- Laryngoscopic images of the vocal tract are used for diagnostic purposes. Quantitative mea-surements like changes of the glottis size or the surface of the vocal cords during an image sequence can be helpful to describe the healing process or to compare the findings of diffe-rent patients. Typically the endoscopic images are circulary symmetric distorted (barrel di-stortion). Therefore measurements of geometric dimensions depend on the object´s position in the image. In this paper an algorithm is presented which allows the computation of the translational invariant "real" object size by correcting the image distortion without using additional calibration of the optical environment.
Author: | Christoph PalmORCiDGND, Annegret Pelkmann, Thomas M. Lehmann, Klaus Spitzer |
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URL / DOI: | https://pdfs.semanticscholar.org/e9d8/eb27af24bd79f482821441c2bf0eee7b3fe6.pdf?_ga=2.183754286.985176231.1591560247-1467258391.1581026068 |
Parent Title (English): | Advances in quantitative laryngoscopy, voice and speech research, Proceedings of the 3rd international workshop Aachen, RWTH |
Document Type: | conference proceeding (article) |
Language: | English |
Year of first Publication: | 1998 |
Release Date: | 2020/06/08 |
Tag: | camera calibration; image distortion; multiple regression analysis |
First Page: | 117 |
Last Page: | 125 |
Institutes: | Fakultät Informatik und Mathematik |
Fakultät Informatik und Mathematik / Regensburg Medical Image Computing (ReMIC) | |
Publication: | Externe Publikationen |
research focus: | Lebenswissenschaften und Ethik |