Performance Comparison of Statistics Based Similarity Measures for Image Registration
Yong Shi · Chinese Journal of Computers · 2004
Typical similarity measures based on statistics are selected from those for multi-modal image registration. Then, the performance comparison and the analysis of these measures are made on the basis of computing time, tolerance for noise, and effect of image window size. These measures include Shannon information measures, Renyi entropy measure, Tsallis entropy measure, PIU(Partitioned Intensity Uniformity) measure and two improved formulae from PIU. The results of tests show that the improved PIU measures have the advantage over that of original PIUs.It is validated that these similarity measures have different performance and applicable cases.