ORTHOGONAL PROJECTION SAMPLING METHOD USED IN RECONSTRUCTION OF INCOMPLETE DATA FIELD

摘要

An orthogonal projection sampling method is proposed in this paper for the reconstruction of incomplete data field by using the prior knowledge algorithm based on the modified algebra reconstruction technology (ART) in the optical computerized tomography (OCT). Experiments based to this method are studied. The satisfying reconstruction results are obtained with less sampling projection numbers and limited sampling angular range. The results indicate that orthogonal projection sampling can improve the precision in the reconstruction of incomplete data, and the precision reaches 10%.