Titlebook: Computer Analysis of Images and Patterns; 8th International Co Franc Solina,Alešs Leonardis Conference proceedings 1999 Springer-Verlag Ber

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FORI-CSDR - A New Approach for Context Sensitive Image Data Reductionage regions can be chosen independently. The FORI-CSDR (focus on regions of interest — context sensitive data reduction) algorithm is able to increase the total data compression rate by varying the image quality settings block-wise, depending on a determined DOI (degree of interest) value.

试验

Modeling Morphological Changes During Contraction of Muscle Fibres by Active Contoursinsic elastic properties smoothed the contour. The process of expansion was terminated, when the area of the inflated contour surpassed the preset value. The equations that we give, lead to a controlled expansion of the active contour model.

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Andres Gordon,Nivaldo Destro,Monica Heilbrondimensional spaces. This approach outperforms generic “optimal” spaces when color illumination is constant, allowing changes in object pose and illumination direction. This approach has been tested for real time industrial inspection of multicolored objects.

柔美流畅

Susanne Moser,Hans-Walter Ruckenbauerage regions can be chosen independently. The FORI-CSDR (focus on regions of interest — context sensitive data reduction) algorithm is able to increase the total data compression rate by varying the image quality settings block-wise, depending on a determined DOI (degree of interest) value.

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https://doi.org/10.1007/978-3-662-65912-0insic elastic properties smoothed the contour. The process of expansion was terminated, when the area of the inflated contour surpassed the preset value. The equations that we give, lead to a controlled expansion of the active contour model.

啮齿动物

Fernando F. Alkmim,Wilson Teixeirathe complex frequency domain by the quaternionic frequency domain defined by the quaternionic Fourier transform. It is shown how the new definition comprises all the older ones. Experimental results demonstrate that the new definition of the analytic signal in 2D is superior to the older approaches.

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