Improving 3D Image Reconstruction Using Conjugate Gradient

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Details

This book is intended to Engineering graduates especially for those who are having back ground of Electronics and computer science. This book contains diffferent 3D image reconstruction techniques have been explained with enough mathematical background. This reconstruction is explained with the support of distinct regularization algorithms like laplacian and other. In addition to the technical presentation, we have included supporting Matlab codes and sample snap shots for better understanding of the readers.

Autorentext

Koushika Chandrasekaran received B.Tech and M.Tech degree in Computer Science from VIT University, Vellore. She published a research article & currently persuing Ph.D.G.S.G.N. Anjaneyulu is working as a professor of Mathematics in VIT, Vellore. His research area includes Algebra, Graph Theory, Cryptography, Network Security and Image Processing.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786134909853
    • Sprache Englisch
    • Genre Anwendungs-Software
    • Größe H220mm x B150mm x T5mm
    • Jahr 2019
    • EAN 9786134909853
    • Format Kartonierter Einband
    • ISBN 6134909858
    • Veröffentlichung 08.01.2019
    • Titel Improving 3D Image Reconstruction Using Conjugate Gradient
    • Autor Koushika Chandrasekaran , G. S. G. N. Anjaneyulu
    • Gewicht 119g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 68

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