AI for Radiology (AI for Everything)

Computers & Technology

Marques, Oge

Computer Science

CRC-Press

Image Processing Recipes in MATLAB® (Chapman & Hall/CRC Computer Science and Engineering Recipes Series)

Borba, Gustavo Benvenutti

Chapman and Hall/CRC

<p><p>Leveraging the latest developments in MATLAB and its image processing toolbox, this 'cookbook' is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms.</p></p>

<p><b>UP-TO-DATE, TECHNICALLY ACCURATE COVERAGE OF ESSENTIAL TOPICS IN IMAGE AND VIDEO PROCESSING</b> </p>
<p>This is the first book to combine image and video processing with a practical MATLAB<sup>®</sup>-oriented approach in order to demonstrate the most important image and video techniques and algorithms. Utilizing minimal math, the contents are presented in a clear, objective manner, emphasizing and encouraging experimentation. </p>
<p>The book has been organized into two parts. Part I: Image Processing begins with an overview of the field, then introduces the fundamental concepts, notation, and terminology associated with image representation and basic image processing operations. Next, it discusses MATLAB<sup>®</sup> and its Image Processing Toolbox with the start of a series of chapters with hands-on activities and step-by-step tutorials. These chapters cover image acquisition and digitization; arithmetic, logic, and geometric operations; point-based, histogram-based, and neighborhood-based image enhancement techniques; the Fourier Transform and relevant frequency-domain image filtering techniques; image restoration; mathematical morphology; edge detection techniques; image segmentation; image compression and coding; and feature extraction and representation. </p>
<p>Part II: Video Processing presents the main concepts and terminology associated with analog video signals and systems, as well as digital video formats and standards. It then describes the technically involved problem of standards conversion, discusses motion estimation and compensation techniques, shows how video sequences can be filtered, and concludes with an example of a solution to object detection and tracking in video sequences using MATLAB<sup>®</sup>. </p>
<p>Extra features of this book include: </p>
<ul>
<li>More than 30 MATLAB<sup>®</sup> tutorials, which consist of step-by-step guides toexploring image and video processing techniques using MATLAB<sup>®</sup>
</li> <li>Chapters supported by figures, examples, illustrative problems, and exercises</li> <li>Useful websites and an extensive list of bibliographical references</li> </ul>
<p>This accessible text is ideal for upper-level undergraduate and graduate students in digital image and video processing courses, as well as for engineers, researchers, software developers, practitioners, and anyone who wishes to learn about these increasingly popular topics on their own.</p>

Practical Image and Video Processing Using MATLAB

Software

Wiley-IEEE Press

<p>Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. It also discusses a variety of design choices for the key components of these systems. This book gives a comprehensive survey of the content-based image retrieval systems, including several content-based video retrieval systems. The survey includes both research and commercial content-based retrieval systems. Content-Based Image And Video Retrieval includes pointers to two hundred representative bibliographic references on this field, ranging from survey papers to descriptions of recent work in the area, entire books and more than seventy websites. Finally, the book presents a detailed case study of designing MUSE–a content-based image retrieval system developed at Florida Atlantic University in Boca Raton, Florida.</p>

Content-Based Image and Video Retrieval (Multimedia Systems and Applications, 21)

Furht, Borko

Reference

Springer

<p><div>This Springerbrief presents an overview of problems and technologies behind segmentation and separation of overlapped latent fingerprints, which are two fundamental steps in the context of fingerprint matching systems. It addresses five main aspects: (1) the need for overlapped latent fingerprint segmentation and separation in the context of fingerprint verification systems; (2) the different datasets available for research on overlapped latent fingerprints; (3) selected algorithms and techniques for segmentation of overlapped latent fingerprints; (4) selected algorithms and techniques for separation of overlapped latent fingerprints; and (5) the use of deep learning techniques for segmentation and separation of overlapped latent fingerprints.</div> <div><br /></div> By offering a structured overview of the most important approaches currently available, putting them in perspective, and suggesting numerous resources for further exploration, this book gives its readers a clear path for learning new topics and engaging in related research. Written from a technical perspective, and yet using language and terminology accessible to non-experts, it describes the technologies, introduces relevant datasets, highlights the most important research results in each area, and outlines the most challenging open research questions. <div><br /></div> <div>This Springerbrief targets researchers, professionals and advanced-level students studying and working in computer science, who are interested in the field of fingerprint matching and biometrics. Readers who want to deepen their understanding of specific topics will find more than one hundred references to additional sources of related information.</div></p>

Segmentation and Separation of Overlapped Latent Fingerprints: Algorithms, Techniques, and Datasets (SpringerBriefs in Computer Science)

Stojanović, Branka

Nešković, Aleksandar

<p>This SpringerBrief provides an overview of contemporary innovative technologies and discusses their impact on our daily lives. Written from a technical perspective, and yet using language and terminology accessible to non-experts, it describes the technologies, the key players in each area, the most popular apps and services (and their pros and cons), as well as relevant usage statistics. <br><br> It is targeted at a broad audience, ranging from young gadget enthusiasts to senior citizens trying to get used to new devices and associated apps. By offering a structured overview of some of the most useful technologies current available, putting them in perspective, and suggesting numerous resources for further exploration, the book gives its readers a clear path for learning new topics through apps and web-based resources, making better choices of apps and websites for frequent use, using social networks effectively, protecting their privacy and staying safe online, and enjoying the opportunities brought about by  these technological advances without being completely consumed by them.</p>

Innovative Technologies in Everyday Life (SpringerBriefs in Computer Science)

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