Marr- Hildreth Algorithm : Edge Detection, Computer Vision, Digital Image

Language: English

Published by Omniscriptum, 2026

6131390711 / 9786131390715

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.

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Bibliographic details

Title
Marr- Hildreth Algorithm : Edge Detection, Computer Vision, Digital Image
Author
Lambert M. Surhone
Publisher
Omniscriptum
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6131390711
ISBN 13
9786131390715
Item weight
155 grams
Dimensions
220x150x6 mm

AHA-BUCH GmbH

Einbeck, Germany

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Shipping rates from Germany to U.S.A.

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