Image Processing Mathematical Methods (64 results)

Hardcover. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.3.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences. In particular, mathematically justified algorithms and methods, the mathematical analysis of these algorithms, and methods as well as the investigation of connections between methods from time series analysis and image processing are reviewed. An interdisciplinary comparison of these methods, drawing upon common sets of test problems from medicine and geophysical/environmental sciences, is also addressed.This volume coherently summarizes work carried out in the field of theoretical signal and image processing. It focuses on non-linear and non-parametric models for time series as well as on adaptive methods in image processing.

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 397 | Sprache: Englisch | Produktart: Bücher.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric SAR, and polarimetric SAR data. At the same time, it addresses highly topical subjects involving remote sensing data types (e.g., very high-resolution images, multiangular or multiresolution data, and satellite image time series) and analysis methodologies (e.g., probabilistic graphical models, hierarchical image representations, kernel machines, data fusion, and compressive sensing) that currently have primary importance in the field of mathematical modelling for remote sensing and image processing. Each chapter focuses on a particular type of remote sensing data and/or on a specific methodological area, presenting both a thorough analysis of the previous literature and a methodologicaland experimental discussion of at least two advanced mathematical methods for information extraction from remote sensing data. This organization ensures that both tutorial information and advanced subjects are covered. With each chapter being written by research scientists from (at least) two different institutions, it offers multiple professional experiences and perspectives on each subject. The book also provides expert analysis and commentary from leading remote sensing and image processing researchers, many of whom serve on the editorial boards of prestigious international journals in these fields, and are actively involved in international scientific societies. Providing the reader with a comprehensive picture of the overall advances and the current cutting-edge developments in the field of mathematical models for remote sensing image analysis, this book is ideal as both a reference resource and a textbook for graduate and doctoral students as well as for remote sensing scientists and practitioners.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Mathematical Methods in Ocean Remote Sensing and Image Processing is a seminal work that provides a comprehensive understanding of the complex mathematical techniques used in ocean remote sensing and image processing. This book examines the fundamental principles of image processing, from data acquisition and preprocessing to feature extraction and classification. Through a series of in-depth analyses and case studies, Mathematical Methods in Ocean Remote Sensing and Image Processing presents cutting-edge solutions for extracting valuable information from ocean remote sensing data, highlighting its potential for improving our understanding of ocean ecosystems and promoting sustainable development. This book is an essential resource for researchers, scientists, and students working in the fields of ocean remote sensing and 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. Mathematical Methods for Image Processing provides a rigorous and accessible introduction to the mathematical foundations of image processing, highlighting their critical role in a range of applications, from medical imaging and computer vision to remote sensing and data compression. By developing a deep understanding of linear algebra, calculus, and probability theory, readers will gain a solid grasp of the mathematical tools essential for image analysis and processing. This book explores the application of mathematical techniques to a range of image processing tasks, including image filtering, segmentation, and feature extraction, as well as the modeling of image formation and degradation processes. With its emphasis on practical examples and case studies, Mathematical Methods for Image Processing equips readers with the skills and knowledge necessary to tackle real-world problems in 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. Mathematical Methods for Image and Signal Processing and Data Science presents a cutting-edge exploration of the mathematical frameworks and computational tools necessary for analyzing and processing complex data sets. By integrating insights from signal processing, image analysis, and machine learning, this book provides a comprehensive introduction to the mathematical methods used in data science. From the analysis of image and signal structures to the development of predictive models, the techniques outlined in this book enable readers to tackle some of the most pressing challenges in fields such as computer vision, natural language processing, and healthcare. 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.

Hardcover. Condition: New. Language:Chinese.HardCover. Pub Date: 2014-8-1 Pages: 188 Publisher: Science Press of medical image processing is mainly on how to obtain internal information from the medical images. provide a clearer. more accurate information to clinicians. in order to facilitate disease accurate diagnosis. in order to develop a reasonable treatment plan. Characteristics of medical image data volume. as well as many kinds of error. which caused great difficulties for medical image processing and analysis. .