A centroiding algorithm for high precision cross strip anode readout of photon imaging detector

The cross strip (XS) anode detector is a photon counting imaging detector with high spatial resolution and good position resolution. This kind of detector is widely used in material science, medical imaging and environmental monitoring, especially in detecting weak photon signals. However, in order to fully tap the potential of the XS anode detector, advanced algorithms are needed to optimize the processing of image data. Centroiding algorithm, as one of the key factors affecting the imaging of detector, plays a vital role in improving the performance of detector. The traditional centroiding algorithm mainly relies on the peak value of charge distribution to locate the centroid, but it is easily disturbed by noise. In order to weaken the negative effect of noise, this paper designs a centroiding algorithm based on convolution, which selects data by setting threshold value and calculates the average value of all data larger than threshold value. In addition, considering that the input signal may introduce noise, the filtering operation is specially introduced. The experimental results demonstrate the superiority of the proposed method in calculating the centroid position. Compared with the traditional algorithm, the mean value interpolation convolution algorithm proposed in this paper improves the precision of solving the centroid coordinates and has good robustness. Specifically, the error range of the algorithm is obviously smaller than that of the traditional algorithm, and its error range is no more than 5%. This means that higher spatial resolution and faster counting rates can be expected without sacrificing too much accuracy.