Computer and machine vision : theory, algorithms, practicalities /

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"Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Davies, E. R. (E. Roy) (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Waltham, Mass. : Elsevier, 2012.
Edición:4th ed.
Temas:
Computer vision.
Information visualization.
Vision par ordinateur.
Visualisation de l'information.
COMPUTERS > Computer Vision & Pattern Recognition.
Computer vision
Information visualization
Acceso en línea:Texto completo

MARC

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100 1 |a Davies, E. R.  |q (E. Roy),  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjDq6djpvGKwCCrQPTvKBd 
245 1 0 |a Computer and machine vision :  |b theory, algorithms, practicalities /  |c E.R. Davies. 
250 |a 4th ed. 
260 |a Waltham, Mass. :  |b Elsevier,  |c 2012. 
300 |a 1 online resource (xxxvi, 871 pages, 4 unnumbered pages of plates) :  |b illustrations (some color), portrait 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and indexes. 
505 0 0 |g Chapter 1.  |t Vision, the Challenge --  |g Part 1.  |t Low-level Vision --  |g Chapter 2.  |t Images and Imaging Operations --  |g Chapter 3.  |t Basic Image Filtering Operations --  |g Chapter 4.  |t Thresholding Techniques --  |g Chapter 5.  |t Edge Detection --  |g Chapter 6.  |t Corner and Interest Point Detection --  |g Chapter 7.  |t Mathematical Morphology --  |g Chapter 8.  |t Texture. 
505 8 0 |g Part 2.  |t Intermediate-level Vision --  |g Chapter 9.  |t Binary Shape Analysis --  |g Chapter 10.  |t Boundary Pattern Analysis --  |g Chapter 11.  |t Line Detection --  |g Chapter 12.  |t Circle and Ellipse Detection --  |g Chapter 13.  |t The Hough Transform and Its Nature --  |g Chapter 14.  |t Pattern Matching Techniques. 
505 8 0 |g Part 3.  |t 3-D Vision and Motion --  |g Chapter 15.  |t The Three-Dimensional World --  |g Chapter 16.  |t Tackling the Perspective n-point Problem --  |g Chapter 17.  |t Invariants and Perspective --  |g Chapter 18.  |t Image Transformations and Camera Calibration --  |g Chapter 19.  |t Motion. 
505 8 0 |g Part 4.  |t Toward Real-time Pattern Recognition Systems --  |g Chapter 20.  |t Automated Visual Inspection --  |g Chapter 21.  |t Inspection of Cereal Grains --  |g Chapter 22.  |t Surveillance --  |g Chapter 23.  |t In-Vehicle Vision Systems --  |g Chapter 24.  |t Statistical Pattern Recognition --  |g Chapter 25.  |t Image Acquisition --  |g Chapter 26.  |t Real-Time Hardware and Systems Design Considerations --  |g Chapter 27.  |t Epilogue--Perspectives in Vision --  |g Appendix A.  |t Robust Statistics. 
520 |a "Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R & D engineers working in this vibrant subject. Key features include: Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practice; New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision; Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples; Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging; The 'recent developments' section now included in each chapter will be useful in bringing students and practitioners up to date with the subject."--Publisher's description. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Computer vision. 
650 0 |a Information visualization. 
650 6 |a Vision par ordinateur. 
650 6 |a Visualisation de l'information. 
650 7 |a COMPUTERS  |x Computer Vision & Pattern Recognition.  |2 bisacsh 
650 7 |a Computer vision  |2 fast 
650 7 |a Information visualization  |2 fast 
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776 0 8 |i Print version:  |a Davies, E.R. (E. Roy).  |t Computer and machine vision.  |b 4th ed.  |d Waltham, Mass. : Elsevier, 2012  |z 9780123869081  |w (OCoLC)761856317 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=872584  |z Texto completo 
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