TreeScan V and frame mosaicing : thesis submitted in partial fulfilment of the requirements of the Masterate Degree in Information Engineering, Department of Production Technology, Massey University

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dc.contributor.authorNourozi, Farshad
dc.date.accessioned2018-10-29T02:17:00Z
dc.date.available2018-10-29T02:17:00Z
dc.date.issued1997
dc.description.abstractIn 1993 the Department of Production Technology carried out a feasibility study of applying digital imaging technology in the pre-harvest inventory assessment for the forestry industry. Consequently a scanning mechanism was developed to capture a series of overlapping images along the stem of a tree. These overlapping images needed to be registered and combined to form a single long and thin high resolution image of the tree. This report describes different methods of finding the overlaps between the consecutive images. Algorithms developed here fall into two broad categories: Spatial Domain and Frequency Domain feature matching. Comparison of different algorithms is made and advantages and disadvantages of each one are discussed. Finally a robust algorithm is developed which combines the strengths of the other algorithms.en_US
dc.identifier.urihttp://hdl.handle.net/10179/13927
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectImage processingen_US
dc.subjectDigital techniquesen_US
dc.subjectInstrumentsen_US
dc.subjectTree Measurementen_US
dc.subjectTreesen_US
dc.subjectForest managementen_US
dc.titleTreeScan V and frame mosaicing : thesis submitted in partial fulfilment of the requirements of the Masterate Degree in Information Engineering, Department of Production Technology, Massey Universityen_US
dc.typeThesisen_US
massey.contributor.authorNourozi, Farshad
thesis.degree.disciplineInformation Engineeringen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Technology (M. Tech.)en_US
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