Signal Image Processing Techniques (90 results)

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Hardcover. Condition: New. ISBN: 9788122428308, 572pp.

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Soft cover. Condition: New. Language:Chinese.Author:LIU LI ZHU.Binding:Soft cover.Publisher:Defense Industry Press Pub. Date :2006-03-01.

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Hardcover. Condition: new. Hardcover. Digital image processing, or signal processing, has been utilized for defense, security, and healthcare applications, including the detection and tracking of minuscule targets, missile guidance, vehicle navigation, broad area surveillance, and automatic or assisted target recognition. In military and security applications, image processing strategies attempt to minimize the burden of human analysts to accommodate the increasing volume of picture data acquired. Other objectives include the creation of algorithms and methods that facilitate the development of autonomous systems capable of making judgments and taking actions based on all sensor inputs. Further research into signal and image processing may help improve current techniques in these sectors. Signal and Image Processing Techniques for Defense, Security, and Healthcare explores the application of advanced signal and image processing technologies across these three critical sectors. It examines how these techniques are used to analyze and interpret data in defense, security, and healthcare contexts. This book covers topics such as healthcare technology, computer algorithms, and object detection, and is a useful resource for computer engineers, medical professionals, security workers, business owners, academicians, scientists, and researchers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Buch. Condition: Neu. Neuware -This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics.It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality.The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 300 pp. Englisch.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Satellite image processing is a critical component of many fields, including remote sensing, geology, and environmental monitoring. Techniques for Enhancing Signal Accuracy in Satellite Image Processing offers a comprehensive exploration of the techniques and strategies used to enhance signal accuracy in satellite image processing, including the use of machine learning algorithms, the development of new sensor technologies, and the creation of advanced image processing software. By analyzing the latest research and developments in the field, this book provides a roadmap for improving signal accuracy in satellite image processing. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Signal Processing Techniques for Image Analysis presents a comprehensive exploration of the intricate relationships between signal processing and image analysis. By examining the fundamental principles of signal processing and its applications in image analysis, this book provides a nuanced understanding of the complexities involved in image processing. The book's in-depth analysis of signal processing techniques, including filtering, transform, and compression, offers readers a thorough grasp of the subject. Through a series of detailed explanations and examples, Signal Processing Techniques for Image Analysis equips readers with the knowledge necessary to tackle a wide range of image analysis tasks, from basic image enhancement to advanced feature extraction. With its clear and concise writing style, this book is an essential resource for students, researchers, and professionals seeking to master the art of signal processing for image analysis. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Signal Processing Techniques for Medical Image Analysis presents a comprehensive analysis of the signal processing techniques used in medical image analysis. By exploring the latest advancements in image processing, machine learning, and data analytics, this book provides a thorough understanding of the underlying principles and methodologies. The author's in-depth examination of various signal processing techniques, including filtering, segmentation, and feature extraction, offers a unique perspective on the challenges and opportunities in this field. With its focus on the practical applications of signal processing in medical image analysis, this book is an invaluable resource for researchers and practitioners seeking to optimize their image analysis strategies. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The introduction of artificial intelligence in healthcare enables accurate, automated, and cost-effective analysis of complicated data. Biomedical signals, including EEG, ECG, MRI, CT, and X-rays, are needed to diagnose and track medical conditions.AI-driven epilepsy detection technologies use machine learning and deep learning to improve signal quality, extract relevant characteristics, and discover subtle patterns that are hard to detect manually. Biometric medical imaging aids diagnosis and therapy. Biometrics identifies the most relevant and minute features for a rigorous, patient-specific study. It includes data segmentation, extraction, and classification approaches to overcome data dimension complexity. Such an intelligent system holds promise for providing early detection, and real-time monitoring, improving model accuracy and scalability.