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dc.contributor.advisorElvebakk, Georg
dc.contributor.authorHagen, Reidar Strand
dc.date.accessioned2015-06-12T12:10:27Z
dc.date.available2015-06-12T12:10:27Z
dc.date.issued2015-05-18
dc.description.abstractIn this thesis the entire process of Fourier Contour Analysis have been investigated for potential sources of bias. No potential biases has been found when creating the contour, however it has been shown there is a slight bias in which otoliths get invalidated by breakage. A probablity based sampling strategy has been suggested instead of the previously used stratification based. It has been shown that both numerically solving the case of best alignment fit for the otolith contours and that using the absolute value of the fourier coefficients improve the final discriminant resultsen_US
dc.identifier.urihttps://hdl.handle.net/10037/7745
dc.identifier.urnURN:NBN:no-uit_munin_7331
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.rights.accessRightsopenAccess
dc.rights.holderCopyright 2015 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/3.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)en_US
dc.subject.courseIDSTA-3900en_US
dc.subjectVDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412en_US
dc.subjectVDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Other fisheries disciplines: 929en_US
dc.subjectVDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920::Andre fiskerifag: 929en_US
dc.subjectVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Analyse: 411en_US
dc.titleSeparation of fish stocks by otoliths: Image representation, Fourier approximation and discriminationen_US
dc.typeMaster thesisen_US
dc.typeMastergradsoppgaveen_US


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Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)