Abstract
In identification of two gray-level patterns, methods of accumulated absolute differences is able to analyze faster than using correlation coefficients. The proposed method is developed combining the successive abandonment algorithm, which is one of the former methods, and a new calculation technique of simultaneous multiple pixel processing. By introducing a F-test technique of the statistics, the algorithm can efficiently reject less similar pictures in many candidate pictures at the very early stage of the calculation.
As a measurement example, a wake of a cylinder, which is visualized by densely distributed particulate tracer, is analyzed and 900 displacement vectors are obtained within 8 seconds using a personal computer system.
