Quantification Of Oleoresin In Agarwood By Means Of Micro-Computed Tomography And Digital Image Processing
| dc.contributor.author | Yazid @ Khalid, Khair'iah | |
| dc.date.accessioned | 2018-10-10T02:00:31Z | |
| dc.date.available | 2018-10-10T02:00:31Z | |
| dc.date.issued | 2011-05 | |
| dc.description.abstract | Micro-focus X-ray computed tomography is a powerful non-destructive scanning technique to study internal micro-structure in wood. In this thesis, the study contains two parts. The first part involves the reconstruction of an image from CT projections. An algorithm referred to as XRecon program has been developed to allow slice reconstruction for parallel beam and fan beam data. The program was created based on filtered back-projection method. An experimental CT setup (NMXCT) was built by utilizing medical digital radiography scanning system in Malaysian Nuclear Agency. The objectives are to perform a proof-of-concept of X-ray CT system, and to validate the XRecon program. The target phantoms chosen for verification of the XRecon program were two solid cylindrical Perspex blocks. The results demonstrate that XRecon is suitable to reconstruct image from fan beam projections. In addition, NMXCT system showed the ability to detect objects with minimum size of 2mm.It was noticed that NMXCT system used in this study may have potential for imaging of bigger sample. XRecon was also applied to scanned micro-CT data. Because of micro-CT consists of cone beam projections, the optical axis projection data was selected, which was acquired with fan beam geometry, and wasconverted to parallel beam data. The reconstruction looks reasonable, but some artifacts are visible in the image. The reconstruction time was observed to be less than a minute for 360 projections. The results show that XRecon is able to reconstruct vertical center from cone beam projections. The quality of reconstructed images using XRecon can be further improved by appropriately designing filter functions. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/6728 | |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Sains Malaysia | en_US |
| dc.subject | Quantification of oleoresin in agarwood | en_US |
| dc.subject | digital image processing | en_US |
| dc.title | Quantification Of Oleoresin In Agarwood By Means Of Micro-Computed Tomography And Digital Image Processing | en_US |
| dc.type | Thesis | en_US |
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