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dc.contributor.authorZhang, Meixia
dc.description.abstractMethod C is the new, fast but simple program which written by the project group in Rolls – Royce@NTU Corporate Lab. The method uses the knowledge of Discrete Fourier Transform (DFT), Gaussian filtering and selecting threshold value to detect the topographic and crystallographic defects. But it has some limitations to detect the crystallographic defects. This project is supported by the project group of Rolls – Royce@NTU Corporate Lab. The programming language used in this project is MatLab. The purpose of this project is to improve Method C to deal with crystallographic defects. The basic processes for the project are analyzing the image sets, learning Method C, selecting suitable parameters for Method C, and 3 experiments to select the input image for detection. Finally, the improved Method C can detect the crystallographic defects – HAB and Rx. For fu rther improvement, can classify the types of detected noised and remove them for increasing accuracy.en_US
dc.format.extent50 p.en_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer visionen_US
dc.titleImage detection program method C improvementen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChia Liang Tienen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.researchRolls-Royce@NTU Corporate Laben_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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