In addition the technique promises to revolutionise the screening, diagnosis, and management of other diseases including, lung, bladder, and oral cancers. The Digital Mammography Project researches methods for improving the performance of breast cancer screening programs by providing an automated analysis of screening mammograms to supplement expert visual inspection by radiologists. The analysis includes the detection of subtle microcalcifications associated with cancer and a classing of masses as likely malignant or likely benign. The system considers many of the features used by radiologists to interpret mammograms plus a host of other features, such as measures tissue texture, which cannot be evaluated visually. The Robust Vision Project researches image registration, the reconstruction of scene and sensor geometry from multiple images and various image processing applications, especially those arising in visual security and surveillance.
Registration is a prerequisite for three-dimensional reconstruction and for change detection.
The automated determination of sensor geometry enables systems to be developed that do not require the calibration of camera systems prior to scene reconstruction. The High Resolution Radar Project researches the extraction of relevant information from high resolution radar images. The Defence force relies upon a variety of sensors including optical, infrared, and radar to locate and track adversarial forces. These sensors provide a huge flow of data. The analysis of this data flow over large landmasses that are sparsely populated is impossible without a prescreening process to detect significant targets.