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dc.contributor.authorWang, Puwei
dc.date.accessioned2021-12-16T20:27:52Z
dc.date.available2021-12-16T20:27:52Z
dc.date.issued2021-11-22
dc.identifier.citationWang, Puwei. 3-D Image Analysis via Jacobi Moments with GPU-Accelerated Algorithms; A thesis submitted to the Faculty of Graduate Studies in partial fulfillment of the requirements for the Master of Science degree, Department of Applied Computer Science, The University of Winnipeg. Winnipeg, Manitoba, Canada: University of Winnipeg, December 2021. DOI: 10.36939/ir.202112171430.en_US
dc.identifier.urihttps://hdl.handle.net/10680/1977
dc.description.abstractThis research has developed a parallel algorithm to compute 3-Dimensional Jacobi moments with high efficiency and accuracy. The algorithm was implemented in CUDA C. Our developing progress was in the order of Legendre moments, Gegenbauer moments, and Jacobi moments investigated on the 2-D image. Then, we extended research from 2-D to 3-D image. To verify the algorithm’s performance, we have implemented image reconstruction from higher orders up to 500 on testing image sized at 512×512×512. The experiment was deployed on Nvidia Tesla V100, which restrained computational time within 400 milliseconds, and the PSNR value of reconstructed image reached up to 53.6382.en_US
dc.language.isoenen_US
dc.publisherUniversity of Winnipegen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFast moment computingen_US
dc.subjectJacobi momentsen_US
dc.subject3-D image reconstructionen_US
dc.subjectGPU accelerationen_US
dc.title3-D Image Analysis via Jacobi Moments with GPU-Accelerated Algorithmsen_US
dc.typeThesisen_US
dc.description.degreeMaster of Science in Applied Computer Scienceen_US
dc.publisher.grantorUniversity of Winnipegen_US
dc.identifier.doi10.36939/ir.202112171430en_US
thesis.degree.disciplineApplied Computer Science
thesis.degree.levelmasters
thesis.degree.nameMaster of Science in Applied Computer Science
thesis.degree.grantorUniversity of Winnipeg


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