Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/134081
DC FieldValue
dc.titleTechnique of distortion correction in endoscopic images using a polynomial expansion
dc.contributor.authorAsari, K.V.
dc.contributor.authorKumar, S.
dc.contributor.authorRadhakrishnan, D.
dc.date.accessioned2016-12-20T08:43:16Z
dc.date.available2016-12-20T08:43:16Z
dc.date.issued1999
dc.identifier.citationAsari, K.V., Kumar, S., Radhakrishnan, D. (1999). Technique of distortion correction in endoscopic images using a polynomial expansion. Medical and Biological Engineering and Computing 37 (1) : 8-12. ScholarBank@NUS Repository.
dc.identifier.issn01400118
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/134081
dc.description.abstractA new technique to correct non-linear distortion of endoscopic images based on L2-norm approximation is proposed. A mathematical model is defined that maps the endoscopic images from the distorted image plane onto an undistorted image plane. A set of model parameters is defined, consisting of the image distortion centre, corrected centre and expansion polynomial coefficients representing radial distortion correction. A new method to find the image distortion centre based on a curvature criterion is also developed. The expansion coefficients are estimated on the basis of the degree of straightness of the grid lines in an image of a test grid consisting of dots in a rectangular pattern. The corrected image centre is computed by ensuring that the distances between neighbouring test dots of different grid lines in the corrected image are the same. The quantitative data providing the results and errors of the expansion characteristics are presented. The performance of the proposed distortion correction algorithm is validated with grid patterns of different orientations. The algorithm is also applied to typical endoscopic images, and the results are presented. The high-speed response of the proposed technique is a key step towards on-line camera calibration.
dc.subjectBarrel distortion
dc.subjectCorrected centre
dc.subjectDistortion centre
dc.subjectEndoscopic images
dc.subjectL2-norm approximation
dc.subjectPolynomial mapping
dc.typeArticle
dc.contributor.departmentSURGERY
dc.description.sourcetitleMedical and Biological Engineering and Computing
dc.description.volume37
dc.description.issue1
dc.description.page8-12
dc.description.codenMBECD
dc.identifier.isiutNOT_IN_WOS
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