In order to quickly and exactly detect the subpixel image edge of micro-part, a fast subpixel edge detection method
based on the property of Gaussian blurred edge model is proposed. Firstly, the approximate positioning of edge point
was extracted by double-threshold segmentation; secondly a Zernike moment operator with a mask size of 5×5 was used
to get rid of false edge points and relocate the edge with subpixel accuracy. Experiment results show that the subpixel
accuracy and the running time of the method are 0.16 pixel and 0.94s. Therefore, the method is suitable for online threedimensional
size detection of micro-part.
KEYWORDS: Data fusion, Detection and tracking algorithms, Monte Carlo methods, Information fusion, Data analysis, Computer simulations, Imaging infrared seeker, Error analysis, Composites, Sensors
Based on nonstationary random process with variance stationary and mean value with trend, a adaptive weighted fusion estimated algorithm is presented to fuse MMW/IR Combined seeker data in this paper. The nonstationary random process is transformed to the stationary random process by first difference, which is used for estimating measured data variance. Finally, observations are fused through the weighed fusion estimation algorithm. Simulation indicate that this algorithm is simpler, practical and its convergence speed is faster.
The analogy between dispersive pulse propagation in time and spacial diffraction or focusing has been known and discussed for many years. In this paper, we corrected the choice of parameters and defined the p parameter, analogous to q parameter in space domain again, with p parameter we analyzed the Gaussian light pulse propagation in dispersive fiber and the dispersion compensation of light pulse with stimulated Raman scattering amplifier. In the end, we predicted that the source of the most effective compensation is from the broadening pulse with suitable changing the phase.
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