Analysis of World War II: Air Combat Records by Herbert K. Weiss

By Herbert K. Weiss

This file comprises en research of wartime files of assaults via German combatants on US Bombers, and of strive against among US and German combatants.

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This point spread function takes the form of three dimensional function as emitted lights from planes with different z affects the observed image in case of the fluorescence microscopy. (1) and give the observed image i(x, y, z). The Fourier transforms of i and o are notated as I and O respectively in the following discussion. According to [7], we model psf(Point Spread Function) in Eq. (1) by . psf(x, y, z) = . 1 x2 + y 2 exp − πRz2 Rz2 (2) where Rz is a function of z and, in this paper, is defined simply as Rz = αz with a suitable value of the constant alpha.

Salama 2 1 Dept. ca 2 Dept. ca Abstract. Sector scan medical ultrasound images usually have arc stripes, which do not represent the physical structure and thus are a kind of noise. This paper analyzes the source and characteristics of the arc stripes, and then proposes an adaptive filter based on the geometrical properties of these arc stripes. The proposed filter is the weighted summation of radially adaptive filter and common Gaussian filter. The radially adaptive filter aims to reduce the arc stripe noise.

Thus, the nonlinear median operation is used to normalize the outputted order-statistics obtained in the ratio domain. In the last processing stage of the proposed method, microarray spots are detected using a vector order-statistic based edge operator, [7]. This choice is reasonable due to the fact that the spectral correlation which exists between the RG channels of the microarray images necessitates the modelling of edges as discontinuities in vector data [7]. Moreover, vector-based edge detectors which utilize order-statistics are considered immune against residual noise which may be present after the preceding steps, and they can be efficiently implemented in either hardware and software.

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