Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. 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.
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Marr- Hildreth Algorithm
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 92 pp. Englisch. N° de réf. du vendeur 9786131390715
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Marr- Hildreth Algorithm : Edge Detection, Computer Vision, Digital Image
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9786131390715
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Marr- Hildreth Algorithm | Edge Detection, Computer Vision, Digital Image
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Taschenbuch. Etat : Neu. Marr- Hildreth Algorithm | Edge Detection, Computer Vision, Digital Image | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131390715 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 113300817
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Marr- Hildreth Algorithm
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. One of the mostuseful popular applications of computers nowadays involve picturemodifications like enhancing colors or including blur or contrasteffects. In computer vision, the Marr-Hildreth algorithm is a method ofdetecting edges in digital images, that is continuous curves where thereare strong and rapid variations in image brightness. The Marr-Hildrethedge detection method is simple and operates by convolving the imagewith the Laplacian of the Gaussian function, or, as a fast approximationby Difference of Gaussians. Then, zero-crossings are detected in thefiltered result to obtain the edges. The Laplacian of the Gaussian imageoperator is sometimes also referred to as the Mexican hat wavelet due toits visual shape when turned up-side-down. David Marr and Ellen C.Hildreth are two of the inventors.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. N° de réf. du vendeur 9786131390715
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