EBSCOhost
World Bank
EconBiz
De Gruyter
OpenEdition
European Respiratory Journal
Mathematical Sciences Publishers Journals
Edward Elgar Publishing UN iLibrary HeinOnline Directory of Open Access Books SAGE Journals ASTM Compass
From this page you can:
| Home |
Descriptors
Make a suggestion Refine your searchDigital image processing / William K. Pratt
Title : Digital image processing : PIKS inside Material Type: printed text Authors: William K. Pratt, Author Edition statement: 3rd ed. Publisher: New York : J. Wiley & Sons Publication Date: 2001 Pagination: xix, 735 p. Layout: ill. (some col.) Size: 24 cm Accompanying material: CD ISBN (or other code): 978-0-471-37407-7 General note: Includes index Includes bibliographical references Languages : English (eng) Descriptors: Computer graphics
Image processing - Digital techniquesClass number: 006.6 Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=139 Hold
Place a hold on this item
Copies
Barcode Call number Media type Location Section Status 1702-000043 006.6 Pra-Dig 2001 General Collection SEEU Library Skopje English Available
Title : Feature extraction & image processing for computer vision Material Type: printed text Authors: Mark S. Nixon, Author ; Alberto S. Aguado, Author Publisher: Elsevier/Academic Press, (Amsterdam -London) Publication Date: 2012 Pagination: xvii, 607 p. Layout: ill. Size: 24 cm ISBN (or other code): 978-0-12-396549-3 General note: Includes bibliographical references
Includes index (p. 601-607)Languages : English (eng) Original Language : English (eng) Descriptors: Computer graphics
Computer vision
Image processing - Digital techniques
Pattern recognition systems - Data processingClass number: 006.6 Abstract: This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Ada boost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. Contents note: Images, Sampling, and Frequency Domain Processing; Basic Image Processing Operations; Low-Level Feature Extraction (including edge detection); High-Level Feature Extraction: Fixed Shape Matching; High-Level Feature Extraction : Deform able Shape Analysis; Object Description; Introduction to Texture Description, Segmentation, and Classification; Moving Object Detection and and Description; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=16230 Hold
Place a hold on this item
Copies
Barcode Call number Media type Location Section Status 1702-001534 006.6 Nix-Fea 2012 General Collection SEEU Library Skopje English Available
Title : Handbook of Computer Vision Algorithms in Image Algebra Material Type: printed text Authors: Joseph N. Wilson, Author ; Gerhard X. Ritter, Author Edition statement: 2nd edition Publisher: Boca Raton : CRC Publication Date: 2001 Pagination: 417 p. Layout: ill. Size: 24 cm ISBN (or other code): 978-0-84930-075-2 General note: Includes index (p. 413-417)
Includes bibliographical referencesLanguages : English (eng) Original Language : English (eng) Descriptors: Computer graphics
Computer vision
Image processing - Digital techniques
MathematicsClass number: 006.6 Abstract: Image algebra is a comprehensive, unifying theory of image transformations, image analysis, and image understanding. In 1996, the bestselling first edition of the Handbook of Computer Vision Algorithms in Image Algebra introduced engineers, scientists, and students to this powerful tool, its basic concepts, and its use in the concise representation of computer vision algorithms. Updated to reflect recent developments and advances, the second edition continues to provide an outstanding introduction to image algebra. It describes more than 80 fundamental computer vision techniques and introduces the portable C++ library, which supports image algebra programming in the C++ language. Revisions to the first edition include a new chapter on geometric manipulation and spatial transformation, several additional algorithms, and the addition of exercises to each chapter. Contents note: Image Algebra; Image Enhancement Techniques; Edge Detection and Boundary finding Techniques; Thresholding Techniques; Thinning and skeletonizing; Connected component Algorithms; Morphological transforms and Techniques; Linear Image Transforms; Pattern matching and Shape Detection; Image features and descriptors; Geometric image transformations; Neural Networks and cellular automat; Appendix. The Image Algebra C++ Library; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=16232 Hold
Place a hold on this item
Copies
Barcode Call number Media type Location Section Status 1702-001536 006.6 Wil-Han 2001 General Collection SEEU Library Skopje English Available
Title : Image Registration : Principles, Tools and Methods Material Type: printed text Authors: Ardeshir Goshtasby, Author Publisher: Springer (London-New York) Publication Date: 2012 Series: Advances in computer vision and pattern recognition Pagination: xviii, 441 p. Layout: ill. Size: 24 cm ISBN (or other code): 978-1-447-12457-3 General note: Includes bibliographical references (p. 432-434)
Includes glossary (p. 435-436)
Includes index (p. 437-441)Languages : English (eng) Original Language : English (eng) Descriptors: Computer graphics
Image processing - Digital techniquesClass number: 006.6 Abstract: This book presents a thorough and detailed guide to image registration, outlining the principles and reviewing state-of-the-art tools and methods. The book begins by identifying the components of a general image registration system, and then describes the design of each component using various image analysis tools. The text reviews a vast array of tools and methods, not only describing the principles behind each tool and method, but also measuring and comparing their performances using synthetic and real data. Features: discusses similarity/dissimilarity measures, point detectors, feature extraction/selection and homogeneous/heterogeneous descriptors; examines robust estimators, point pattern matching algorithms, transformation functions, and image re sampling and blending; covers principal axes methods, hierarchical methods, optimization-based methods, edge-based methods, model-based methods, and adaptive methods; includes a glossary, an extensive list of references, and an appendix on PCA. Contents note: Introduction; Similarity and Dissimilarity Measures; Point Detectors; Feature Extraction; Image Descriptors; Feature Selection and Heterogeneous Descriptors; Point Pattern Matching; Robust Parameter Estimation; Transformation Functions; Image Resembling and Com-positing; Image Registration Methods; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=16229 Hold
Place a hold on this item
Copies
Barcode Call number Media type Location Section Status 1702-001533 006.6 Gos-Ima 2012 General Collection SEEU Library Skopje English Available
