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A computational introduction to digital image processing / Alasdair McAndrew (2016)

Public Titre : A computational introduction to digital image processing Type de document : Monographie Auteurs : Alasdair McAndrew Mention d'édition : Second edition Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2016 Importance : 535 p. Présentation : illustrations Format : 18 x 26 cm ISBN/ISSN/EAN : 978-1-4822-4732-9 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] compression par ondelettes [Termes IGN] GNU Octave [Termes IGN] image en couleur [Termes IGN] Matlab [Termes IGN] Python (langage de programmation) [Termes IGN] restauration d'image [Termes IGN] segmentation d'image [Termes IGN] transformation de Fourier [Termes IGN] voisinage (relation topologique) Index. décimale : 35.20 Traitement d'image Résumé : (Editeur) This book explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that involve simple mathematics yet offer a very broad and deep introduction to the discipline. This second edition provides users with three different computing options. Along with MATLAB®, this edition now includes GNU Octave and Python. Users can choose the best software to fit their needs or migrate from one system to another. Programs are written as modular as possible, allowing for greater flexibility, code reuse, and conciseness. This edition also contains new images, redrawn diagrams, and new discussions of edge-preserving blurring filters, ISODATA thresholding, Radon transform, corner detection, retinex algorithm, LZW compression, and other topics. Based on the author’s successful image processing courses, this bestseller is suitable for classroom use or self-study. In a straightforward way, the text illustrates how to implement imaging techniques in MATLAB, GNU Octave, and Python. It includes numerous examples and exercises to give students hands-on practice with the material. Note de contenu : 1. Introduction 2. Images Files and File Types 3. Image Display 4. Point Processing 5. Neighborhood Processing 6. Image Geometry 7. The Fourier Transform 8. Image Restoration 9. Image Segmentation 10. Mathematical Morphology 11. Image Topology 12. Shapes and Boundaries 13. Color Processing 14. Image Coding and Compression 15. Wavelets 16. Special Effects Appendix A: Introduction to MATLAB and Octave Appendix B: Introduction to Python Appendix C: The Fast Fourier Transform Numéro de notice : 22951 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91638

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
22951-01	35.20	Livre	Centre de documentation	Télédétection	Disponible