Marr- Hildreth Algorithm
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High Quality Content by WIKIPEDIA articles! One of the most useful popular applications of computers nowadays involve picture modifications like enhancing colors or including blur or contrast effects. 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…mehr

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High Quality Content by WIKIPEDIA articles! One of the most useful popular applications of computers nowadays involve picture modifications like enhancing colors or including blur or contrast effects. 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 the Gaussian image operator is sometimes also referred to as the Mexican hat wavelet due to its visual shape when turned up-side-down. David Marr and Ellen C. Hildreth are two of the inventors.