RT Journal Article
ID 0b7707bb55f4dc01
A1 Kaga, Akikazu
A1 Inoue, Yoshio
A1 Yamaguchi, Katsuhito
T1 A REVIEW ON PATTERN TRACKING ALGORITHMS USING SUCCESSIVE ABANDONMENT
JF Journal of Flow Visualization and Image Processing
JO JFV
YR 2017
FD 2017-12-12
VO 24
IS 1-4
SP 107
OP 122
AB A new algorithm for the pattern tracking velocimetry, which is much faster than the spatial correlation method, is proposed and applied to the measurement of low velocity airflow. In this algorithm the similarity of a pair of image fragments is estimated with the summation of gray level differences between corresponding pixels. The summation is executed in parts, and unpromising candidates are abandoned successively through F-inspection. The ratio of the number of vectors which are obtained as the unique solution to the total number of vectors, is defined as the reliability. This index increases as the fragment size increases, but the increasing rate is reduced as the quality of visualized images deteriorates. The algorithm discussed here is superior to other algorithms that have been proposed with respect to computation time and the ability to estimate reliability of results.
PB Begell House
LK http://dl.begellhouse.com/journals/52b74bd3689ab10b,0c24ca0c02a231e1,0b7707bb55f4dc01.html