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The digital edition of all books may be viewed on our website before purchase. Excerpt from Computing Large-Kernel Convolutions of Images
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Computing Large-Kernel Convolutions of Images (Classic Reprint)
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Paperback. Etat : New. Print on Demand. This book provides an in-depth exploration of Gaussian and Laplacian-of-Gaussian convolutions, techniques pivotal to edge detection and image processing. The author explores the historical development of these methods, presenting a historical lineage from their early theoretical origins through to their application in computer vision. This book discusses the advantages and disadvantages of various approaches to calculating these convolutions on both serial and parallel architectures. The book includes theoretical proofs and examples to illustrate the mathematical underpinnings of these image processing methods and will be of particular interest to computer scientists and those working in computer graphics and image analysis. This book provides fresh insights into the challenges and opportunities that large-kernel convolutions present and will help researchers surmount these. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. N° de réf. du vendeur 9781334538056_0
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Computing LargeKernel Convolutions of Images Classic Reprint
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781334538056
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Computing LargeKernel Convolutions of Images Classic Reprint
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781334538056
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Hummel, R: Computing Large-Kernel Convolutions of Images (Cl
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Etat : New. KlappentextrnrnExcerpt from Computing Large-Kernel Convolutions of ImagesFigure l. A one-dimensional Gaussian, with o=1.0. Dots mark point evaluates of the Gaussian at each integer. The heights of the bars in the bar graph give the mean . N° de réf. du vendeur 2148152956
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