Algorithm of spatio-temporal multidimensional signal processing of triangulation optical sensor for restore shape object
Rinat R. Diyazitdinov · 2021
The article describes an important task for restore object shape, which is measured by triangulation optical sensor. The restored object shape (object contour) makes by spatio-temporal multidimensional signal processing. The data of object contour is received at close moments in time. The core of spatio-temporal multidimensional signal processing bases on the hypothesis that object shape changes slightly at close moments in time. The right restore object shape is provided by the superposition of contour. The superposition algorithm is based on the iteration procedure. The processing contours have matched closer to each other with each new iteration. The first contour is the etalon multidimensional signal. The second contour is a measured signal at close moments in time. Superposition makes by feature points. The feature point of the etalon signal is the contour point, the feature point of the measured signal is the intersection of a normal line (it is calculated by etalon signal) and measured contour. The computer simulation and verification test show improvement result measurement by the developed algorithm.