Sentence examples for numerical image processing from inspiring English sources

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The Hough transform algorithm is a method that is mostly used for automatic border detection in a modelbased numerical image processing.

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Besides, a quantitative analysis method was proposed to eliminate the subjective judgments in AFT tests through a numerical image-processing platform, which could depict a complete deformation profile of the whole ash fusion process with high precision and reproducibility.

Key Word: Numerical Differential Equations, Image Processing, Deep Learning, Wavelet Analysis, Inverse Problem.

The high development of numerical image and signal processing techniques, may lead to the replacement of conventional photosensitive media used in holography by CCD sensors: hence, to the field of digital holography.

We focus in this paper on the theoretical and numerical aspect os image processing.

The numerical results obtained from image processing were used to determine turbulence parameters like turbulent intensity, turbulent kinetic energy and eddy dissipation rate.

where X 0) is the low frequency (zero frequency) component of X and X(2) is the high frequency component of X. μ is a scaling parameter used to scale I into a proper numerical range for specific image processing applications, abs(X(0)) is the complex magnitude of X 0), real(X(2)) is the real part of X(2), and imag(X(2)) is the imaginary part of X(2).

Because wavelet analysis can capture the pattern information of a numerical signal by decomposition into time-frequency space, it has been used as a signal processing technique in many diverse fields, such as signal and image processing, numerical analysis and statistics.

Wavelet analysis has become a common tool for documenting localized variations of power within a time series, with successful applications in signal and image processing, numerical analysis and statistics.

Main areas of research interest of the center's members include scientific computing and numerical analysis, dynamical systems, signal and image processing, network science, mathematical finance, mathematical biology and stochastic modeling.

We present numerical examples from signal and image processing that show the low error and scalability of our method.

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