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Content Provider | IEEE Xplore Digital Library |
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Author | Chao Zhang Helferty, J.P. McLennan, G. Higgins, W.E. |
Copyright Year | 2000 |
Description | Author affiliation: Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA (Chao Zhang) |
Abstract | Modern video-based endoscopes offer physicians a wide-angle held of view for minimally-invasive procedures. Unfortunately, inherent barrel distortion prevents accurate perception of range. This makes measurement and distance judgment difficult and causes difficulties in emerging applications, such as 3D medical-image registration. Such distortion also arises in other wide field-of-view camera circumstances. This paper presents a distortion-correction technique that can automatically calculate correction parameters, without precise knowledge of horizontal and vertical-orientation. The method is applicable to any camera-distortion correction situation. Based on a least-squares estimation, our proposed algorithm considers line fits in both field-of-view directions and global consistency that gives the optimal image center and expansion coefficients. The method is insensitive to the initial orientation of the endoscope and provides more exhaustive field-of-view correction than previously proposed algorithms. The distortion-correction procedure is demonstrated for endoscopic video images of a calibration test pattern, a rubber bronchial training device, and real human circumstances. The distortion correction is also shown as a necessary component of an image-guided virtual-endoscopy system that matches endoscope images to corresponding rendered 3D CT views. |
Starting Page | 439 |
Ending Page | 442 |
File Size | 571388 |
Page Count | 4 |
File Format | |
ISBN | 0780362977 |
ISSN | 15224880 |
DOI | 10.1109/ICIP.2000.899441 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2000-09-10 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Nonlinear distortion Endoscopes Distortion measurement Biomedical imaging Cameras Calibration Testing Rubber Humans Rendering (computer graphics) |
Content Type | Text |
Resource Type | Article |
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