Lens distortion correction by analysing the shape of patterns in Hough transform space : a thesis presented in partial fulfilment of the requirements for the degree of Master of Engineering in Electronics and Computer Engineering at Massey University, Manawatu, New Zealand

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dc.contributor.authorChang, Yuan
dc.date.accessioned2019-10-07T03:22:16Z
dc.date.available2019-10-07T03:22:16Z
dc.date.issued2018
dc.description.abstractMany low cost, wide angle lenses suffer from lens distortion, resulting from a radial variation in the lens magnification. As a result, straight lines, particularly those in the periphery, appear curved. The Hough transform is a commonly used linear feature detection technique within an image. In Hough transform space, straight lines and curved lines have different shapes of peaks. This thesis proposes a lens distortion correction method named SLDC based on analysing the shape of patterns in the Hough transform space. It works by reconstructing the distorted line from significant points on the smile-shaped Hough pattern. It then optimises the distortion parameter by mapping the reconstructed curved line into a straight line and minimising the RMSE. From both simulation and correcting real world images, the SLDC provides encouraging results.en_US
dc.identifier.urihttp://hdl.handle.net/10179/14984
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectComputer visionen_US
dc.subjectImage processingen_US
dc.subjectDigital techniquesen_US
dc.subjectPattern recognition systemsen_US
dc.subjectOptical pattern recognitionen_US
dc.subjectHough transformen_US
dc.subjectbarrel lens distortion correctionen_US
dc.subjectstraight lineen_US
dc.subjectshape of peaksen_US
dc.titleLens distortion correction by analysing the shape of patterns in Hough transform space : a thesis presented in partial fulfilment of the requirements for the degree of Master of Engineering in Electronics and Computer Engineering at Massey University, Manawatu, New Zealanden_US
dc.typeThesisen_US
massey.contributor.authorChang, Yuan
thesis.degree.disciplineElectronics and Computer Engineeringen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Engineering (MEng)en_US
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