Inhaltsangabe
Excerpt from Computing Large-Kernel Convolutions of Images
Figure 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 values of the Gaussian in a block of width 1 centered at each integer.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Weitere beliebte Ausgaben desselben Titels
Suchergebnisse für Computing Large-Kernel Convolutions of Images (Classic...
Foto des Verkäufers
Computing Large-Kernel Convolutions of Images (Classic Reprint)
Print-on-DemandAnbieter: Forgotten Books, London, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9781334538056_0
Neu kaufen
EUR 15,21
Versand gratis
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Computing LargeKernel Convolutions of Images Classic Reprint
Anbieter: PBShop.store US, Wood Dale, IL, USA
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers LW-9781334538056
Beispielbild für diese ISBN
Computing LargeKernel Convolutions of Images Classic Reprint
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers LW-9781334538056
Neu kaufen
EUR 20,59
EUR 3,80 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 15 verfügbar
Foto des Verkäufers
Hummel, R: Computing Large-Kernel Convolutions of Images (Cl
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 4 von 5 Sternen
Zustand: 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 . Bestandsnummer des Verkäufers 2148152956
Neu kaufen
EUR 17,39
EUR 48,99 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: Mehr als 20 verfügbar