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Tensor voting
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Tensor voting method is used to extract the feature object in the rocker image, mainly for the extraction of the contour line of the building periphery. This has a positive effect on the analysis of local details in big data
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Tensor voting method
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Using tensor voting methods to extract rocker characteristics of objects in images, mainly for extraction of the contours of the building perimeter. Details of this in big data analysis local plays an active role
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Three-dimensional Fourier transform
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Using three-dimensional Fourier transform to transform the point cloud data, you can set the point cloud data from the spatial domain to time domain, are concentrated in the point cloud noise in the high frequency range, ease of handling noise.
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Matlb program level sets
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Data processing by level set rocker features in the image object can be extracted for your research, I analyzed, greatly improved the progress of the research, avoiding an unnecessary error-filled.
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