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Practical Handbook on Image Processing for Scientific and Technical Applications

, empirical approaches to a sound science based on established mathematical and physical principles. The Practical Handbook on Image Processing for;

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Concepts and Applications of Image Processing Techniques

image processing principles and practical software implementation on a wider area of its usage. It combines the contributions from leading;

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Recent Advances on Memetic Algorithms and its Applications in Image Processing

contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence;

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Recent Advances on Memetic Algorithms and its Applications in Image Processing

contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence;

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Handbook of Image and Video Processing

, techniques, and algorithms for every type of image and video processing used by scientists and engineers. The timely volume will provide both the;

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Space Image Processing

essential technical information for developing PC applications. The material focuses on images of the planet and other celestial bodies obtained by;

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Handbook of Medical Image Computing and Computer Assisted Intervention

research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and;

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The Image Processing Handbook

organization, more quantitative results, and new material on recent developments Includes completely rewritten chapters on 3D imaging and a thoroughly;

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The Image Processing Handbook

organization, more quantitative results, and new material on recent developments Includes completely rewritten chapters on 3D imaging and a thoroughly;

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Handbook on Neural Information Processing

bioinformatics This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced;

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Handbook of Robust Low-Rank and Sparse Matrix Decomposition

learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications;

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Image Processing and Mathematical Morphology

numerous practical examples Gives readers a clear tutorial on complex technology and other tools that rely on their intuition for a clear;

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The Image Processing Handbook

understand those methods provided in packaged software, and program additions needed for particular applications. The author outlines frequency space;

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Designing Scientific Applications on GPUs

. Understand the Benefits of Using GPUs for Many Scientific Applications Designing Scientific Applications on GPUs shows you how to use GPUs for;

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Digital Image Processing Algorithms and Applications

A unique collection of algorithms and lab experiments for practitioners and researchers of digital image processing technology With the;

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Adaptive Image Processing

) methods and algorithms for adaptive image processing in regularization, edge detection, and early vision. With three new chapters and updated;

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Image Processing and Computer Vision in iOS

This book presents the fundamentals of mobile visual computing in iOS development and provides directions for developers and researchers;

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Power Electronics Handbook

This book is aimed at providing different approaches to power electronics. This book includes discussions on topics like transmission and;

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Video, Speech, and Audio Signal Processing and Associated Standards

in digital form. Encompassing essential background material, technical details, standards, and software, the second edition reflects cutting-edge;

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Image Processing for Phase-Sensitive Optical Coherence Tomography

Phase-sensitive imaging techniques, suitable for investigating structures in the micron range, are discussed in this book with a focus on;

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Handbook of Formulas and Tables for Signal Processing

This book serves as an essential reference for all engineers involved in signal and image processing. It examines the theories and;

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Nonlinear Signal and Image Processing

background and practical algorithms through the potential of these methods for solving important open questions. Nonlinear Signal and Image;

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Practical Machine Learning and Image Processing

with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for;

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Practical Machine Learning and Image Processing

with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for;

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Towards Ubiquitous Low-power Image Processing Platforms

Platforms. The main focus lies on the development of high-performance, energy-efficient embedded systems for the growing range of increasingly;

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Binary Digital Image Processing

this area. The theoretical part of this book includes the basic principles required for binary digital image analysis. The practical part which;

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Introduction to Image Processing and Analysis

practical reasons for using certain methods, their effects on images, and their appropriate applications. The text concentrates on image processing;

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