Computer and Machine Vision

Produk Detail:
  • Author : E. R. Davies
  • Publisher : Academic Press
  • Pages : 912 pages
  • ISBN : 0123869919
  • Rating : /5 from reviews
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Download or Read online Computer and Machine Vision full in PDF, ePub and kindle. this book written by E. R. Davies and published by Academic Press which was released on 18 April 2012 with total page 912 pages. We cannot guarantee that Computer and Machine Vision book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 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

Computer and Machine Vision

Computer and Machine Vision
  • Author : E. R. Davies
  • Publisher : Academic Press
  • Release : 18 April 2012
GET THIS BOOK Computer and Machine Vision

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:

Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision
  • Author : Arcangelo Distante,Cosimo Distante
  • Publisher : Springer Nature
  • Release : 30 May 2020
GET THIS BOOK Handbook of Image Processing and Computer Vision

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 2 (From Image to Pattern) examines image transforms, image restoration, and image segmentation.

Computer Vision Metrics

Computer Vision Metrics
  • Author : Scott Krig
  • Publisher : Apress
  • Release : 22 May 2014
GET THIS BOOK Computer Vision Metrics

Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance targets for specific applications. The survey is broader than it is deep, with over 540 references provided to

Machine Vision Algorithms in Java

Machine Vision Algorithms in Java
  • Author : Paul F. Whelan,Derek Molloy
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK Machine Vision Algorithms in Java

This book presents key machine vision techniques and algorithms, along with the associated Java source code. Special features include a complete self-contained treatment of all topics and techniques essential to the understanding and implementation of machine vision; an introduction to object-oriented programming and to the Java programming language, with particular reference to its imaging capabilities; Java source code for a wide range of real-world image processing and analysis functions; an introduction to the Java 2D imaging and Java Advanced Imaging (

Computer Vision

Computer Vision
  • Author : Simon J. D. Prince
  • Publisher : Cambridge University Press
  • Release : 18 June 2012
GET THIS BOOK Computer Vision

A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.

Practical Computer Vision with SimpleCV

Practical Computer Vision with SimpleCV
  • Author : Kurt Demaagd,Anthony Oliver,Nathan Oostendorp,Katherine Scott
  • Publisher : "O'Reilly Media, Inc."
  • Release : 26 July 2012
GET THIS BOOK Practical Computer Vision with SimpleCV

Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing streaming digital images. You’ll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work

Experimental Environments for Computer Vision and Image Processing

Experimental Environments for Computer Vision and Image Processing
  • Author : Henrik I. Christensen
  • Publisher : World Scientific
  • Release : 05 December 1994
GET THIS BOOK Experimental Environments for Computer Vision and Image Processing

To fully appreciate new methods developed in the area of machine vision it is necessary to have facilities which allow experimental verification of such methods. Experimental research is typically a very expensive task in terms of manpower, and consequently it is desirable to adopt standard facilities/methods which allow more efficient experimental investigations. In this volume a range of different experimental environments which facilitate construction and integration of machine vision systems is described. The environments presented cover areas such as

A Guide for Machine Vision in Quality Control

A Guide for Machine Vision in Quality Control
  • Author : Sheila Anand,L. Priya
  • Publisher : CRC Press
  • Release : 23 December 2019
GET THIS BOOK A Guide for Machine Vision in Quality Control

Machine Vision systems combine image processing with industrial automation. One of the primary areas of application of Machine Vision in the Industry is in the area of Quality Control. Machine vision provides fast, economic and reliable inspection that improves quality as well as business productivity. Building machine vision applications is a challenging task as each application is unique, with its own requirements and desired outcome. A Guide to Machine Vision in Quality Control follows a practitioner’s approach to learning

Computer Vision

Computer Vision
  • Author : Zhihui Xiong
  • Publisher : IntechOpen
  • Release : 01 November 2008
GET THIS BOOK Computer Vision

This book presents research trends on computer vision, especially on application of robotics, and on advanced approachs for computer vision (such as omnidirectional vision). Among them, research on RFID technology integrating stereo vision to localize an indoor mobile robot is included in this book. Besides, this book includes many research on omnidirectional vision, and the combination of omnidirectional vision with robotics. This book features representative work on the computer vision, and it puts more focus on robotics vision and omnidirectioal

Advances in Computer Vision

Advances in Computer Vision
  • Author : Kohei Arai,Supriya Kapoor
  • Publisher : Springer
  • Release : 24 April 2019
GET THIS BOOK Advances in Computer Vision

This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 118 (including 7 poster papers) were selected for inclusion

Person Re Identification

Person Re Identification
  • Author : Shaogang Gong,Marco Cristani,Shuicheng Yan,Chen Change Loy
  • Publisher : Springer Science & Business Media
  • Release : 03 January 2014
GET THIS BOOK Person Re Identification

The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer

B zier and Splines in Image Processing and Machine Vision

B  zier and Splines in Image Processing and Machine Vision
  • Author : Sambhunath Biswas,Brian C. Lovell
  • Publisher : Springer-Verlag New York Incorporated
  • Release : 09 January 2008
GET THIS BOOK B zier and Splines in Image Processing and Machine Vision

Digital image processing and machine vision have grown considerably during the last few decades. Of the various techniques, developed so far, splines play a significant role in many of them. This book deals with various image processing and machine vision problems efficiently with splines and includes: the significance of Bernstein Polynomial in splines, detailed coverage of Beta-splines applications which are relatively new, Splines in motion tracking, various deformative models and their uses. Finally the book covers wavelet splines which are