Two special digital processing systems for recognition of moving objects
Some special digital operators and recognition techniques are presented for digital image processing. Two complete digital systems are described. The first fast and relatively simple system uses non-linear smoothing and adaptive thresholding as a pre-processing and inertial invariant components to recognize moving objects. The second more complex system uses non-linear smoothing, edge detection and noise spike reduction as a pre-processing and FFT of the boundary distances from the centroid to recognize and track moving objects. Experiments of recognition and tracking of mechanical objects are reported.