4.6 Benchmark SteeringCube Creation

In this chapter the quality and speed of the available steering algorithms are compared in order to assist in your choice of the correct SteeringCube algorithm. First, the results of a test on a standard data set are presented to give an indication of the speed of SteeringCube calculation versus the chosen algorithm and calculation cube size parameter (where applicable). Then, a visual quality check on one of the inlines is presented. This is done by checking the crossline dip, which is directly extracted from the SteeringCube, and by reviewing the steered similarity, which uses information derived from the SteeringCube.

The final output quality is determined not only according to the steering algorithm. The size of the calculation cube also plays an important role. Next, the application of additional dip-steered median filter influences on the output quality are presented and finally, the use of dip limit.