Image and Vision Systems (IVS)
The main aim of this project is to develop a real time system based on multi-resolution statistical algorithms for medical image segmentation. 3-D medical image processing is a very computationally intensive process which leads to high power dissipation. A range of design methodologies and arithmetic techniques will be investigated such as distributed arithmetic and systolic arrays to reduce the area / time complexities and power dissipation in the system. The system will be tested and evaluated on different Field Programmable Gate Array (FPGA) platforms. Multiresolution and statistical algorithms such as wavelet/rigdlet transforms, and Gaussian Mixture Modelling (GMM) will be accelerated on reconfigurable hardware.
