Nonlinear distortion correction in endoscopic video images

C. Zhang, J. P. Helferty, G. McLennan, William Evan Higgins

Research output: Contribution to conferencePaper

25 Citations (Scopus)

Abstract

Modern video-based endoscopes offer physicians a wide-angle field 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.

Original languageEnglish (US)
Pages439-442
Number of pages4
StatePublished - Dec 1 2000
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period9/10/009/13/00

Fingerprint

Nonlinear distortion
Endoscopy
Cameras
Image registration
Rubber
Calibration

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Zhang, C., Helferty, J. P., McLennan, G., & Higgins, W. E. (2000). Nonlinear distortion correction in endoscopic video images. 439-442. Paper presented at International Conference on Image Processing (ICIP 2000), Vancouver, BC, Canada.
Zhang, C. ; Helferty, J. P. ; McLennan, G. ; Higgins, William Evan. / Nonlinear distortion correction in endoscopic video images. Paper presented at International Conference on Image Processing (ICIP 2000), Vancouver, BC, Canada.4 p.
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Zhang, C, Helferty, JP, McLennan, G & Higgins, WE 2000, 'Nonlinear distortion correction in endoscopic video images' Paper presented at International Conference on Image Processing (ICIP 2000), Vancouver, BC, Canada, 9/10/00 - 9/13/00, pp. 439-442.

Nonlinear distortion correction in endoscopic video images. / Zhang, C.; Helferty, J. P.; McLennan, G.; Higgins, William Evan.

2000. 439-442 Paper presented at International Conference on Image Processing (ICIP 2000), Vancouver, BC, Canada.

Research output: Contribution to conferencePaper

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Zhang C, Helferty JP, McLennan G, Higgins WE. Nonlinear distortion correction in endoscopic video images. 2000. Paper presented at International Conference on Image Processing (ICIP 2000), Vancouver, BC, Canada.