Taking an engineering approach, the text integrates theory with a conceptual and application-oriented style, allowing you to immediately understand how each topic fits into the overall structure of practical application development. Divided into five major parts, the book begins by introducing the concepts and definitions necessary to understand computer imaging. The second part describes image analysis and provides the tools, concepts, and models required to analyze digital images and develop computer vision applications. Part III discusses application areas for the processing of images, emphasizing human visual perception. The text concludes with appendices that provide supplemental imaging information and assist with the programming exercises found in each chapter.
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Includes bibliographical references and index. Contents I. Introduction to Computer Vision and Image Processing. Overview: Computer Imaging. Computer Vision. Image Processing. Computer Imaging Systems. Human Visual Perception. Image Representation. Digital Image File Formats. Image Analysis. Discrete Transforms. Feature Extraction and Analysis.
Image Restoration. Noise Removal Using Spatial Filters. Frequency Domain Filters. Geometric Transforms. Image Enhancement. Gray-Scale Modification. Image Sharpening. Image Smoothing. Image Compression. Lossless Compression Methods. Lossy Compression Methods. Using CVIPtools. Introduction and Overview.
The Graphical User Interface. CVIPtools Applications. Automatic Skin Tumor Border Identification. Helicopter Image Enhancement and Analysis. Programming with CVIPtools. Introduction to CVIPlab. Getting CVIPtools software updates. To get via the WWW. CVIPtools Functions. Toolkit Libraries. Toolbox Libraries. CVIP Resources. This application-oriented approach to Computer Vision and Image Processing CVIP brings these two separate but related fields together with an engineering perspective.
A just-in-time approach presents topics as they become necessary for practical applications. This approach allows students to see an immediate need for the tools and topics presented, providing motivation for learning.
Computer Vision and Image Processing : A Practical Approach Using CVIPTools (BK/CD-ROM)
Includes bibliographical references and index. Contents I. Introduction to Computer Vision and Image Processing. Overview: Computer Imaging.
Computer Vision and Image Processing: A Practical Approach Using CVIPTools (BK/CD-ROM)
Books by Scott E. Umbaugh : Author Umbaugh, Scott E. Lists What are lists? Mazen Selim marked it as to-read Sep 23, Found at these bookshops Searching — please wait Part I consists of CVIP fundamentals, including the basic concepts, definitions, models, and algorithms necessary to understand computer imaging. Includes bibliographical references and index. The University of Melbourne Library. Want to Read saving….
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There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics discussed here provide a solid introduction to image processing along with low-level processing techniques, computer vision fundamentals along with examples of applied applications and pattern recognition algorithms and methodologies that will be of value to the image processing and computer vision research communities. How to use image processing and visualization to analyze big data. Discusses novel applications that can benefit from image processing, computer vision and pattern recognition such as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering.
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