Phase-Only Filtering for Comparison of Functional Neuroimaging Time Sequences

From the image processing literature, we know that the phase information is often significantly more important than amplitude in preserving the features of a visual scene. A modified version of the traditional matched filter has been computer simulated and tested. The modification consists of using only the phase function and setting the amplitude function to unity; a so-called Phase-Only Matched Filter (POMF). This thesis presents a new method to match two different spatio-temporal movies using the POMF. The aim of this project is to implement a Phase-Only filter, which automatically give us the degree of similarity between two different functional neuroimaging time sequences. Practical results are presented for this application. All the properties of this filter have been tested. The results are compared in terms of correlation peak height, relation main-secondary peak and signal/noise ratio