Introductory Digital Image Processing

Introductory Digital Image Processing

This text focuses exclusively on the art and science of digital image processing of satellite and aircraft-derived remotely-sensed data for resource management.

Author: John R. Jensen

Publisher:

ISBN: UOM:39015038174184

Category: Cluster analysis

Page: 316

View: 846

For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. This text focuses exclusively on the art and science of digital image processing of satellite and aircraft-derived remotely-sensed data for resource management. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Prentice Hall Series Geographic Information Science.
Categories: Cluster analysis

Introductory Digital Image Processing

Introductory Digital Image Processing

Part of the Pearson Series Geographic Information Science. Now in full color, the Fourth Edition provides up-to-date information on analytical methods used to analyze digital remote sensing data.

Author: John R. Jensen

Publisher: Prentice Hall

ISBN: 013405816X

Category: Science

Page: 544

View: 130

For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. Introductory Digital Image Processing: A Remote Sensing Perspective focuses on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Pearson Series Geographic Information Science. Now in full color, the Fourth Edition provides up-to-date information on analytical methods used to analyze digital remote sensing data. Each chapter contains a substantive reference list that can be used by students and scientists as a starting place for their digital image processing project or research. A new appendix provides sources of imagery and other geospatial information.
Categories: Science

Introductory Remote Sensing

Introductory Remote Sensing

This is a unique interactive textbook/CD-ROM package, offering students step-by-step, practical hands-on experience of digital image processing.

Author: Paul Gibson

Publisher: Psychology Press

ISBN: 0415189624

Category: Science

Page: 249

View: 652

This is a unique interactive textbook/CD-ROM package, offering students step-by-step, practical hands-on experience of digital image processing. The textbook explains how to process digital images to maximise information output and discusses a range of environmental monitoring techniques. A range of case studies are explored, drawn from a variety of disciplines and from across the world.. The final section of the book presents a practical manual of image processing instruction and detailed practical exercises to support the unique CD-ROM which accompanies this textbook. The CD-ROM contains fully functioning image processing software - a limited edition of DRAGON software developed specifically for readers of Introductory Remote Sensing - and over 70 satellite digital datasets for 9 scenes across America, Ireland, China, Sudan, Peru, Western Europe and the UK.
Categories: Science

Introductory Remote Sensing

Introductory Remote Sensing

This is a unique interactive text package offering students step-by-step, practical hands-on experience of digital image processing. The hardback edition includes a CD-ROM with fully functional image processing software.

Author: Paul Jude Gibson

Publisher: Psychology Press

ISBN: 0415189616

Category: Science

Page: 249

View: 915

This is a unique interactive text package offering students step-by-step, practical hands-on experience of digital image processing. The hardback edition includes a CD-ROM with fully functional image processing software.
Categories: Science

Principles of Digital Image Processing

Principles of Digital Image Processing

This volume builds upon the introductory material presented in the first two volumes with additional key concepts and methods in image processing.

Author: Wilhelm Burger

Publisher: Springer Science & Business Media

ISBN: 9781848829190

Category: Computers

Page: 369

View: 899

This textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the introductory material presented in the first two volumes with additional key concepts and methods in image processing. Features: practical examples and carefully constructed chapter-ending exercises; real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners; easily adaptable Java code and completely worked-out examples for easy inclusion in existing applications; uses ImageJ; provides a supplementary website with the complete Java source code, test images, and corrections; additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements.
Categories: Computers

Practical Digital Image Processing

Practical Digital Image Processing

Aims to bridge a gap between introductory texts on image processing and more specialist works which contain considerable amounts of complex mathematics.

Author: Rhys Lewis

Publisher: Ellis Horwood Limited

ISBN: UOM:39015018878721

Category: Computer art

Page: 253

View: 879

Aims to bridge a gap between introductory texts on image processing and more specialist works which contain considerable amounts of complex mathematics. Emphasis is placed on the selection and use of techniques rather than their implementation.
Categories: Computer art

Digital Image Processing

Digital Image Processing

Gonzales, R. C., and Woods, R. E. Digital Image Processing, New York:
AddisonWesley Publishing Company, 1992. Gonzales, R. C., Woods, R. E., ...
Jensen, J. R. “Introductory Digital Image Processing: A Remote Sensing
Perspective.” Chap.

Author: Uvais Qidwai

Publisher: CRC Press

ISBN: 9781420079517

Category: Computers

Page: 314

View: 144

Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB® presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB®, without bogging down students with syntactical and debugging issues. One chapter can typically be completed per week, with each chapter divided into three sections. The first section presents theoretical topics in a very simple and basic style with generic language and mathematics. The second section explains the theoretical concepts using flowcharts to streamline the concepts and to form a foundation for students to code in any programming language. The final section supplies MATLAB codes for reproducing the figures presented in the chapter. Programming-based exercises at the end of each chapter facilitate the learning of underlying concepts through practice. This textbook equips undergraduate students in computer engineering and science with an essential understanding of digital image processing. It will also help them comprehend more advanced topics and sophisticated mathematical material in later courses. A color insert is included in the text while various instructor resources are available on the author’s website.
Categories: Computers

Digital Image Processing

Digital Image Processing

This book “Digital Image Processing—A Signal Processing and Algorithmic
Approach” deals with the fundamentals of Digital Image ... The book is primarily
intended as a textbook for an introductory Digital Image Processing course at
senior ...

Author: D. Sundararajan

Publisher: Springer

ISBN: 9789811061134

Category: Computers

Page: 468

View: 169

This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.
Categories: Computers

Introduction to Digital Image Processing

Introduction to Digital Image Processing

A. K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, Englewood
Cliffs, NJ, 1989. R. Jain, R. Kasturi and B. G. Schunck, Machine Vision, MIT Press
and McGraw-Hill, New York, 1995. J. R. Jensen, Introductory Digital Image ...

Author: William K. Pratt

Publisher: CRC Press

ISBN: 9781482216707

Category: Technology & Engineering

Page: 756

View: 421

The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms of mathematical derivations and eliminates derivations of advanced subjects. Most importantly, the textbook contains an extensive set of programming exercises for students. The textbook examines the basic technologies needed to support image processing applications, including the characterization of continuous images, image sampling and quantization techniques, and two-dimensional signal processing techniques. It then covers the two principle areas of image processing: image enhancement and restoration techniques and extraction of information from an image. It concludes with discussions of image and video compression. Covers the mathematical representation of continuous images and discrete images Discusses the psychophysical properties of human vision Analyzes and compares linear processing techniques implemented by direct convolution and Fourier domain filtering Details restoration models, point and spatial restoration and geometrical image modification Includes morphological image processing, edge detection, image feature extraction, image segmentation, object shape analysis, and object detection Describes coding technique applicable to still image and video coding based upon point and spatial processing Outlines the widely adopted JPEG and MPEG still image and video coding standards The author’s accessible style provides historical background on the development of image processing techniques as well as a theoretical exposition. The inclusion of numerous exercises fully prepares students for further study.
Categories: Technology & Engineering

Introductory Digital Signal Processing with Computer Applications

Introductory Digital Signal Processing with Computer Applications

Kaiser, J.F., 'Nonrecursive Digital Filter Design using the Io-sinh Window
Function', Proc. 1974 IEEE Int. Symp. on Circuits and Syst., San Francisco, pp 20
–23, 1974. Niblack, W., Digital Image Processing (Englewood Cliffs: Prentice-Hall
, ...

Author: Paul A. Lynn

Publisher: John Wiley & Sons

ISBN: 9780471976318

Category: Science

Page: 496

View: 318

"An excellent introductory book" (Review of the First Edition in the International Journal of Electrical Engineering Education) " it will serve as a reference book in this area for a long time" (Review of Revised Edition in Zentralblatt für Mathematik (Germany)) Firmly established as the essential introductory Digital Signal Processing (DSP) text, this second edition reflects the growing importance of random digital signals and random DSP in the undergraduate syllabus by including two new chapters. The authors' practical, problem-solving approach to DSP continues in this new material, which is backed up by additional worked examples and computer programs. The book now features: * fundamentals of digital signals and systems * time and frequency domain analysis and processing, including digital convolution and the Discrete and Fast Fourier Transforms * design and practical application of digital filters * description and processing of random signals, including correlation, filtering, and the detection of signals in noise Programs in C and equivalent PASCAL are listed in an Appendix. Typical results and graphic plots from all the programs are illustrated and discussed in the main text. The overall approach assumes no prior knowledge of electronics, computing, or DSP. An ideal text for undergraduate students in electrical, electronic and other branches of engineering, computer science, applied mathematics and physics. Practising engineers and scientists will also find this a highly accessible introduction to an increasingly important field.
Categories: Science

Remote Sensing Digital Image Analysis

Remote Sensing Digital Image Analysis

R. M. Hord, 1982: Digital Image Processing of Remotely Sensed Data, N.Y.,
Academic. J. R. Jensen, 1986: Introductory Digital Image Processing – a Remote
Sensing Perspective. N.J., Prentice-Hall. P. M. Mather, 1987: Computer
Processing ...

Author: John A. Richards

Publisher: Springer Science & Business Media

ISBN: 9783662039786

Category: Technology & Engineering

Page: 363

View: 300

Revised and enlarged to reflect new developments in the field, the fourth edition of this well-established text provides an introduction to quantitative evaluation of satellite- and aircraft-derived remotely retrieved data. Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations.
Categories: Technology & Engineering

Techniques for Image Processing and Classifications in Remote Sensing

Techniques for Image Processing and Classifications in Remote Sensing

This is followed by separate chapters on image processing and classification techniques that are widely used in the remote sensing community.

Author: Robert A. Schowengerdt

Publisher: Academic Press

ISBN: 9780323138550

Category: Technology & Engineering

Page: 249

View: 306

Techniques for Image Processing and Classifications in Remote Sensing provides an introduction to the fundamentals of computer image processing and classification (commonly called ""pattern recognition"" in other applications). The book begins with a discussion of digital scanners and imagery, and two key mathematical concepts for image processing and classification—spatial filtering and statistical pattern recognition. This is followed by separate chapters on image processing and classification techniques that are widely used in the remote sensing community. The emphasis throughout is on techniques that assist in the analysis of images, not particular applications of these techniques. The book also has four appendixes, featuring a bibliography; an introduction to computer binary data representation and image data formats; a discussion of interactive image processing; and a selection of exam questions from the Image Processing Laboratory course at the University of Arizona. This book is intended for use as either a primary source in an introductory image processing course or as a supplementary text in an intermediate-level remote sensing course. The academic level addressed is upper-division undergraduate or beginning graduate, and familiarity with calculus and basic vector and matrix concepts is assumed.
Categories: Technology & Engineering

Fundamentals of Digital Image Processing

Fundamentals of Digital Image Processing

This is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition.

Author: Chris Solomon

Publisher: John Wiley & Sons

ISBN: 9781119957003

Category: Science

Page: 344

View: 869

This is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the book offers a framework within which the concepts can be understood by a series of well chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. Clearly divided into eleven distinct chapters, the book begins with a fast-start introduction to image processing to enhance the accessibility of later topics. Subsequent chapters offer increasingly advanced discussion of topics involving more challenging concepts, with the final chapter looking at the application of automated image classification (with Matlab examples) . Matlab is frequently used in the book as a tool for demonstrations, conducting experiments and for solving problems, as it is both ideally suited to this role and is widely available. Prior experience of Matlab is not required and those without access to Matlab can still benefit from the independent presentation of topics and numerous examples. Features a companion website www.wiley.com/go/solomon/fundamentals containing a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself. Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike.
Categories: Science

Key Methods in Geography

Key Methods in Geography

Drury , S.A. ( 1998 ) Images of the Earth : A Guide to Remote Sensing ( 2nd edn )
. New York : Oxford ... Gibson , P.J. and Power , C.H. ( 2000 ) Introductory Remote
Sensing : Digital Image Processing and Applications . London : Routledge .

Author: Nicholas Clifford

Publisher: SAGE

ISBN: 076197492X

Category: Science

Page: 572

View: 602

Key Methods in Geography is an introduction for undergraduates to the principal methodological issues involved in the collection, analysis and presentation of geographical information. It provides an accessible primer, which will be used by students as a reference throughout their degree, on all issues from research design to presentation. A unique feature of the book is that it provides definitions of terms from both human geography and physical geography. Organized into four parts: Getting Started in Geographical Research; Data Collection in Human Geography; Data Collection in Physical Geography; Analyzing and Representing Geographical Data. Each chapter is comprised of a short definition, a summary of the principal arguments, a substantive 5,000-word discussion, the use of real-life examples, and annotated notes for further reading. The teaching of research methods is integral in all geography courses. Key Methods in Geography identifies the key analytical and observational strategies with which all geography undergraduates should be conversant.
Categories: Science

Multispectral Image Analysis Using the Object Oriented Paradigm

Multispectral Image Analysis Using the Object Oriented Paradigm

Jensen, J.R., 2005, Introductory Digital Image Processing, 3rd ed., Upper Saddle
River, NJ: Prentice Hall. Kauth, R.J. and Thomas, G.S., 1976, The Tasseled Cap
— A Graphic Description of the Spectral-Temporal Development of Agricultural ...

Author: Kumar Navulur

Publisher: CRC Press

ISBN: 1420043072

Category: Technology & Engineering

Page: 184

View: 859

Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach. Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object-Oriented Paradigm reviews the current image analysis methods and demonstrates advantages to improve information extraction from imagery. This reference describes traditional image analysis techniques, introduces object-oriented technology, and discusses the benefits of object-based versus pixel-based classification. It examines the creation of object primitives using image segmentation approaches and the use of various techniques for object classification. The author covers image enhancement methods, how to use ancillary data to constrain image segmentation, and concepts of semantic grouping of objects. He concludes by addressing accuracy assessment approaches. The accompanying two CD-ROMs present sample data that enable the use of different approaches to problem solving. Integrating remote sensing techniques and GIS analysis, Multispectral Image Analysis Using the Object-Oriented Paradigm distills new tools to extract information from remotely sensed data.
Categories: Technology & Engineering

Soil Erosion

Soil Erosion

Cartographie Thématique dérivée des images satellitaires, Saint- Mandé, 2-4
octobre 1990. Bull Comité Français Cartographie ... Int J of Remote Sensing 7:
1895-1907 Jensen JR (1986) Introductory digital image processing. A remote
sensing ...

Author: Jürgen Schmidt

Publisher: Springer Science & Business Media

ISBN: 3540667644

Category: Mathematics

Page: 318

View: 254

Colour photographs illustrating different forms of soil erosion.
Categories: Mathematics

Introductory Remote Sensing Principles and Concepts

Introductory Remote Sensing Principles and Concepts

Other sections within theWWW site includea glossary, sources of remote
sensinginformation; a listof datacontributorsto thebooks and a preview ofthe
companion volume, Introductory Remote Sensing: Digital Image Processing and
 ...

Author: Paul Gibson

Publisher: Routledge

ISBN: 9781135638030

Category: Science

Page: 216

View: 964

Introduction to Remote Sensing Principles and Concepts provides a comprehensive student introduction to both the theory and application of remote sensing. This textbook * introduces the field of remote sensing and traces its historical development and evolution * presents detailed explanations of core remote sensing principles and concepts providing the theory required for a clear understanding of remotely sensed images. * describes important remote sensing platforms - including Landsat, SPOT and NOAA * examines and illustrates many of the applications of remotely sensed images in various fields. A unique World Wide Web site accompanies this textbook. Developed for the users of Netscape 3 / Internet Explorer or above, this site offers: * over 45 full colour images with descriptions * examples illustrating remote sensing applications for meteorology, geology, vegetation studies, urban studies and oceanography * material from the Americas, the UK, Ireland, Africa, Australasia, Africa and Western Europe * Image exercises, with answers * Shorter questions and answers on remote sensing * An online glossary of terms, links to sources of useful remote sensing information available online.
Categories: Science

A Course on Digital Image Processing with MATLAB

A Course on Digital Image Processing with MATLAB

Concentrating on the principles and techniques of image processing, this book provides an in-depth presentation of key topics, including many techniques not included in introductory texts.

Author: P. K. Thiruvikraman

Publisher:

ISBN: 0750326034

Category: COMPUTERS

Page:

View: 486

Concentrating on the principles and techniques of image processing, this book provides an in-depth presentation of key topics, including many techniques not included in introductory texts. Practical implementation of the various image processing algorithms is an important step in learning the subject, and computer packages such as MATLAB facilitate this without the need to learn more complex programming languages. Whilst two chapters are devoted to the MATLAB programming environment and the image processing toolbox, the use of image processing algorithms using MATLAB is emphasised throughout the book, and every chapter is accompanied by a collection of exercises and programming assignments. Including coverage of colour and video image processing as well as object recognition, the book is augmented with supplementary MATLAB code and hints and solutions to problems are also provided.
Categories: COMPUTERS

The Essential Guide to Image Processing

The Essential Guide to Image Processing

We are visual beings and images are being made increasing available to us in
electronic digital format via digital ... The reader will find that this Guide covers
introductory, intermediate and advanced topics of digital image processing, and
is ...

Author: Alan C. Bovik

Publisher: Academic Press

ISBN: 0080922511

Category: Computers

Page: 672

View: 183

A complete introduction to the basic and intermediate concepts of image processing from the leading people in the field Up-to-date content, including statistical modeling of natural, anistropic diffusion, image quality and the latest developments in JPEG 2000 This comprehensive and state-of-the art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and iris recognition and medical imaging. "This book combines basic image processing techniques with some of the most advanced procedures. Introductory chapters dedicated to general principles are presented alongside detailed application-orientated ones. As a result it is suitably adapted for different classes of readers, ranging from Master to PhD students and beyond." – Prof. Jean-Philippe Thiran, EPFL, Lausanne, Switzerland "Al Bovik’s compendium proceeds systematically from fundamentals to today’s research frontiers. Professor Bovik, himself a highly respected leader in the field, has invited an all-star team of contributors. Students, researchers, and practitioners of image processing alike should benefit from the Essential Guide." – Prof. Bernd Girod, Stanford University, USA "This book is informative, easy to read with plenty of examples, and allows great flexibility in tailoring a course on image processing or analysis." – Prof. Pamela Cosman, University of California, San Diego, USA A complete and modern introduction to the basic and intermediate concepts of image processing – edited and written by the leading people in the field An essential reference for all types of engineers working on image processing applications Up-to-date content, including statistical modelling of natural, anisotropic diffusion, image quality and the latest developments in JPEG 2000
Categories: Computers