In this third edition of Nuclear Cardiology Review: A Self-Assessment Tool, physicians at the renowned Cleveland Clinical offer a Q & A style approach to preparing for the American Society of Nuclear Cardiologys Certification Board of Nuclear Cardi...Loe edasi...
This book covers the fundamentals of what MRS is, the choices that go into selecting an acquisition approach, and how to analyse MRS data. Magnetic resonance spectroscopy is a fantastically flexible, quantitative and non-invasive way to study...Loe edasi...
The new edition of the bestselling Remote Sensing for Geoscientists: Image Analysis and Integration expands the scope of remote sensing to cover image systems that did not exist 10 years ago when the third edition was published. It is thoro...Loe edasi...
The fifth edition of this core textbook in advanced remote sensing continues to maintain its emphasis on statistically motivated, data-driven techniques for remote sensing image analysis. The theoretical substance remains essentially the same, wit...Loe edasi...
This book provides an in-depth study of biomedical image analysis. It reviews and summarizes previous research work in biomedical image analysis and also provides a brief introduction to other computation techniques, such as fuzzy sets, neutrosoph...Loe edasi...
The book, Digital Image Enhancement, Restoration and Compression, focuses on human vision based imaging application development. Digital Image Enhancement, Restoration and Compression focuse...Loe edasi...
The use of differential equations on graphs as a framework for the mathematical analysis of images emerged about fifteen years ago and since then it has burgeoned, and with applications also to machine learning. The authors have written a birds eye...Loe edasi...
Sari: Elements in Non-local Data Interactions: Foundations and Applications
(Ilmumisaeg: 27-Feb-2025, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009494656)
The use of differential equations on graphs as a framework for the mathematical analysis of images emerged about fifteen years ago and since then it has burgeoned, and with applications also to machine learning. The authors have written a birds eye...Loe edasi...
The new edition will have separate volumes for computer vision and human-based vision applications. The first volume, Computer Vision and Image Analysis, will focus on the topics needed for computer vision systems development. It will feature more ex...Loe edasi...
Computer vision and image analysis play an essential role in 4.0 IR as machine vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and...Loe edasi...
(Ilmumisaeg: 13-Nov-2024, Hardback, Kirjastus: Institute of Physics Publishing, ISBN-13: 9780750359672)
Designed for a one semester course, the aim of this book is to concentrate on the principles and techniques of image processing. This second edition includes important updates to the first edition, as well as two entirely new chapters, making the...Loe edasi...
This discounted two-book set contains both; Fundamentals of Image, Audio, and Video Processing Using MATLAB® and Fundamentals of Graphics Using MATLAB®. This discounted two-book set contains BOTH:F...Loe edasi...
This book focuses on seven commonly used image analysis techniques. It covers aspects from basic principles and practical methods, to new advancement of each selected technique to help readers solve image-processing related problems in real-life s...Loe edasi...
This reference text covers deep learning methods for detection of various diseases and analysis of medical images for better understanding. It will serve as a useful text for graduate students and academic researchers in the fields of electronics eng...Loe edasi...
During the Covid-19 pandemic, we observed that the images helped doctors immensely in fast detection of Covid-19 infection in patients. There are many critical applications which use image processing to extract some useful information from raw ima...Loe edasi...
Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data. Social Science Research Network has revealed that...Loe edasi...
Computer vision and image analysis is a field that continues to advance at an ever increasing pace, with applications ranging from medical diagnostics to space exploration. The diversity of applications is one of the driving forces that make it su...Loe edasi...
This book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are...Loe edasi...