Investigation of three dimensional terahertz computed tomography for biomedical applications. Terahertz (T-ray) imaging is an exciting newly emerging technology that can perform safe, non-invasive, imaging and chemical sensing at the same time. This research aims to achieve an advance in terahertz imaging by using advanced methods that will enhance our ability to achieve accurate detection of diseased tissue in vivo. Socio-economic benefits to Australia include: (i) contributions to terahertz sy ....Investigation of three dimensional terahertz computed tomography for biomedical applications. Terahertz (T-ray) imaging is an exciting newly emerging technology that can perform safe, non-invasive, imaging and chemical sensing at the same time. This research aims to achieve an advance in terahertz imaging by using advanced methods that will enhance our ability to achieve accurate detection of diseased tissue in vivo. Socio-economic benefits to Australia include: (i) contributions to terahertz systems, enhancing Australia's reputation for cutting-edge research; (ii) international collaboration will be strengthened; (iii) results will potentially lead to commercialisation opportunities; (iv) the outcomes will ultimately impact on improving terahertz imaging in quality control, medical diagnosis, and detection for national security.Read moreRead less
Intelligent and objective measurement of wool fibre diameter. More than a half million tones of wool produced in Australia per year are visually evaluated by human woolclassers. This fibre-classing process is subjective and heavily dependent on the experience of the classers. In this project, we will objectively measure wool fibre diameter by extracting features used by human woolclassers and by combining image processing and artificial intelligence. The fractal dimension calculated by fracta ....Intelligent and objective measurement of wool fibre diameter. More than a half million tones of wool produced in Australia per year are visually evaluated by human woolclassers. This fibre-classing process is subjective and heavily dependent on the experience of the classers. In this project, we will objectively measure wool fibre diameter by extracting features used by human woolclassers and by combining image processing and artificial intelligence. The fractal dimension calculated by fractal based texture analysis will be correlated to fibre diameter. This approach will provide an insight into an on farm and/or in shed objective measurement of wool fibre diameter.Read moreRead less