Marr–Hildreth algorithm
In computer vision, the Marr–Hildreth algorithm is a method of detecting edges in digital images, that is, continuous curves where there are strong and rapid variations in image brightness. The Marr–Hildreth edge detection method is simple and operates by convolving the image with the Laplacian of the Gaussian function, or, as a fast approximation by difference of Gaussians. Then, zero crossings are detected in the filtered result to obtain the edges. The Laplacian-of-Gaussian image operator is sometimes also referred to as the Mexican hat wavelet due to its visual shape when turned upside-down. David Marr and Ellen C. Hildreth are two of the inventors.
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Marr–Hildreth algorithm
In computer vision, the Marr–Hildreth algorithm is a method of detecting edges in digital images, that is, continuous curves where there are strong and rapid variations in image brightness. The Marr–Hildreth edge detection method is simple and operates by convolving the image with the Laplacian of the Gaussian function, or, as a fast approximation by difference of Gaussians. Then, zero crossings are detected in the filtered result to obtain the edges. The Laplacian-of-Gaussian image operator is sometimes also referred to as the Mexican hat wavelet due to its visual shape when turned upside-down. David Marr and Ellen C. Hildreth are two of the inventors.
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Der Marr-Hildreth-Operator ode ...... ht zurück auf David Marr und .
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Em visão computacional, o filt ...... rrespondem as bordas do sinal.
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In computer vision, the Marr–H ...... reth are two of the inventors.
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Der Marr-Hildreth-Operator ode ...... detektion genutzt werden kann.
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Em visão computacional, o filt ...... rrespondem as bordas do sinal.
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In computer vision, the Marr–H ...... reth are two of the inventors.
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Marr-Hildreth-Operator
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Marr–Hildreth algorithm
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Marr–Hildreth
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