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Computer Imaging: Digital Image Analysis and Processing brings together analysis and processing in a unified framework, providing a valuable foundation for understanding both computer vision and image processing applications. Taking an engineering approach, the text integrates theory with a conceptual and application-oriented style, allowing you to immediately understand how each topic fits into the overall structure of practical application development.Divided into five major parts, the book begins by introducing the concepts and definitions necessary to understand computer imaging. The second part describes image analysis and provides the tools, concepts, and models required to analyze digital images and develop computer vision applications. Part III discusses application areas for the processing of images, emphasizing human visual perception. Part IV delivers the information required to apply a CVIPtools environment to algorithm development. The text concludes with appendices that provide supplemental imaging information and assist with the programming exercises found in each chapter.The author presents topics as needed for understanding each practical imaging model being studied. This motivates the reader to master the topics and also makes the book useful as a reference. The CVIPtools software integrated throughout the book, now in a new Windows version, provides practical examples and encourages you to conduct additional exploration via tutorials and programming exercises provided with each chapter.

4th Edition No-pa16apr2015-kap

2. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Just imagine the possibilities with the iGen 20/20 2.6x Day & Night Vision Monocular, a high-tech device that brings the future of night vision to your fingertips. This advanced monocular is powered by proprietary iGEN technology, offering adjustable light amplification ranging from 300x to a staggering 10,000x. This feature ensures optimal visibility in varying light conditions, from twilight to pitch black darkness.Experience a smooth viewing experience with the variable frame rate feature, which can be adjusted from 2 fps to 30 fps, surpassing the performance of Gen 2 night vision devices and comparable to Gen 3 models. This powerful monocular is equipped with Infrared Intelligence that offers three distinct modes, adjusting the wattage automatically as needed to cater to different levels of darkness.The iGen 20/20 2.6x Monocular boasts enhanced infrared sensitivity, offering double the sensitivity of traditional intensifier tube technology. This feature ensures clear, detailed images even in low-light conditions, making it an ideal tool for outdoor enthusiasts engaged in activities like hunting, camping, hiking, and birdwatching.For those who wish to capture their observations, this versatile device features a video composite output for direct recording to an external device. Simply connect a composite video cable (RCA cable, not included) and select between NTSC or PAL formats. This feature allows you to document and share your experiences in the great outdoors. In conclusion, the iGen 20/20 2.6x Day & Night Vision Monocular with Image Processing is a durable, powerful, and versatile tool that enhances your outdoor adventures, day or night.

The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic analysis of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include: Conventional smoothing procedures Estimation of jump regression curves Estimation of jump location curves of regression surfaces Jump-preserving surface reconstruction based on local smoothing Edge detection in image processing Edge-preserving image restoration With mathematical proofs kept to a minimum, this book is uniquely accessible to a broad readership. It may be used as a primary text in nonparametric regression analysis and image processing as well as a reference guide for academicians and industry professionals focused on image processing or curve/surface estimation.

The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic analysis of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include: Conventional smoothing procedures Estimation of jump regression curves Estimation of jump location curves of regression surfaces Jump-preserving surface reconstruction based on local smoothing Edge detection in image processing Edge-preserving image restoration With mathematical proofs kept to a minimum, this book is uniquely accessible to a broad readership. It may be used as a primary text in nonparametric regression analysis and image processing as well as a reference guide for academicians and industry professionals focused on image processing or curve/surface estimation.

This book is intended for use in a first course on digital signal processing in either an undergraduate course or in a first-year graduate course. The emphasis taken is that of stressing fundamental issues and not of giving an encyclopedic treatment of the many signal processing algorithms available. The primary goal of this book is to provide a self-contained treatment of the fundamental principles of signal processing in which the underlying signals may be deterministic or nondeterministic. To supplement the learning process, a list of selected answers to the many problems that appear at the end of each chapter and a set of computer program problems illustrating the theoretical concepts are included.

Oz Yilmaz has expanded his original volume on processing to include inversion and interpretation of seismic data. In addition to the developments in all aspects of conventional processing, this two-volume set represents a comprehensive and complete coverage of the modern trends in the seismic industry-from time to depth, from 3-D to 4-D, from 4-D to 4-C, and from isotropy to anisotropy.Also Available: Seismic Data Processing with Seismic Un*x - ISBN 1560801344 3D Seismic Imaging (Investigations in Geophysics) - ISBN 1560801379

Buy with confidence! Book is in new, never-used condition 2.02

High Definition's Highest Expression.... Whether you're a broadcast ENG producer, or documentary, feature, or commercial videographer, the XL H1 is the affordable, lightweight HD camcorder you've been waiting for. Its Superior Canon Optics and exceptional image processing give you a brilliant HD image. The XL H1 also features uncompressed HD-SDI (SMPTE 292M) and SD-SDI (SMPTE 259M) output, as well as Genlock input and SMPTE time code input and output for multi-camera shoots. And, with its customizable open-architecture approach, selectable frame rates including 24F, and multiple output options, you've got exactly the right tool, every time. The XL H1 features total Cine control, customizable settings and a well-balanced design, for the creative control, flexibility and advanced capability your video work demands.

Bound in glossy pictorial cover and issued without a dust jacket. Very small chip on upper left corner of cover. Binding is tight. Cover, pages, and text block edges are clean and unmarked. Images shown are of actual item. Free shipping within the US.

Image enhancement is a tool with a number of military, law enforcement, scientific, and commercial applications. This book offers image analysts with image enhancing techniques together with methods for measuring system performance when each technique is applied.

This accessible guide presents the astrophysical concepts behind astronomical spectroscopy, covering both the theory and the practical elements of recording, processing, analysing and interpreting your spectra. It covers astronomical objects, such as stars, planets, nebulae, novae, supernovae, and events such as eclipses and comet passages. Suitable for anyone with only a little background knowledge and access to amateur-level equipment, the guide's many illustrations, sketches and figures will help you understand and practise this scientifically important and growing field of amateur astronomy, up to the level of Pro-Am collaborations. Accessible to non-academics, it benefits many groups from novices and learners in astronomy clubs, to advanced students and teachers of astrophysics. This volume is the perfect companion to the Spectral Atlas for Amateur Astronomers, which provides detailed commented spectral profiles of more than 100 astronomical objects.

820 pages. 9.61x6.69x1.85 inches. This item is printed on demand.

This volume includes contributions originating from a conference held at Chapman University during November 14-19, 2017. It presents original research by experts in signal processing, linear systems, operator theory, complex and hypercomplex analysis and related topics.

Book by Robinson, Enders A., Silvia, Manuel T.

Provides a comprehensive exploration of underwater acoustics, acoustic signal generation, and acoustic signal processing for systems analysts, systems engineers and sonar engineers. This book is a reprint of the second edition published in 1991 and is still a classic text in the field. Updated and expanded in 1991, this edition contains all the valuable information it its earlier text plus a detailed discussion of adaptive processing as applied to spatial filtering. You will also find review sections on Fourier analysis, correlation, random processes and hypothesis testing. Highlights include: generation and propagation of compressional acoustic waves in the ocean; narrow band signatures of surface ships caused by cavitating propeller blades and diesel engine firing; optimization of signal-to-noise ratio and spatial resolution in the presence of multiple signals; ambient noise in the ocean; and examples of system performance.

Offering radar-related software for the analysis and design of radar waveform and signal processing, Radar Signal Analysis and Processing Using MATLAB® provides a comprehensive source of theoretical and practical information on radar signals, signal analysis, and radar signal processing with companion MATLAB® code. After an overview of radar systems operation and design, the book reviews elements of signal theory relevant to radar detection and radar signal processing, along with random variables and processes. The author then presents the unique characteristic of the matched filter and develops a general formula for the output of the matched filter that is valid for any waveform. He analyzes several analog waveforms, including the linear frequency modulation pulse and stepped frequency waveforms, as well as unmodulated pulse-train, binary, polyphase, and frequency codes. The book explores radar target detection and pulse integration, emphasizing the constant false alarm rate. It also covers the stretch processor, the moving target indicator, radar Doppler processing, beamforming, and adaptive array processing. Using configurable MATLAB code, this book demonstrates how to apply signal processing to radar applications. It includes many examples and problems to illustrate the practical application of the theory.

This new, fully-revised edition covers all the major topics of digital signal processing (DSP) design and analysis in a single, all-inclusive volume, interweaving theory with real-world examples and design trade-offs. Building on the success of the original, this edition includes new material on random signal processing, a new chapter on spectral estimation, greatly expanded coverage of filter banks and wavelets, and new material on the solution of difference equations. Additional steps in mathematical derivations make them easier to follow, and an important new feature is the do-it-yourself section at the end of each chapter, where readers get hands-on experience of solving practical signal processing problems in a range of MATLAB experiments. With 120 worked examples, 20 case studies, and almost 400 homework exercises, the book is essential reading for anyone taking DSP courses. Its unique blend of theory and real-world practical examples also makes it an ideal reference for practitioners.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.59