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Signal Processing, Image Processing, and Pattern Recognition

Signal Processing, Image Processing, and Pattern Recognition PDF Author: Stephen P. Banks
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 432

Book Description


Signal Processing, Image Processing, and Pattern Recognition

Signal Processing, Image Processing, and Pattern Recognition PDF Author: Stephen P. Banks
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 432

Book Description


Image Processing and Pattern Recognition

Image Processing and Pattern Recognition PDF Author: Frank Y. Shih
Publisher: John Wiley & Sons
ISBN: 0470404612
Category : Technology & Engineering
Languages : en
Pages : 564

Book Description
A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.

Signal Processing, Image Processing and Pattern Recognition

Signal Processing, Image Processing and Pattern Recognition PDF Author: Stephen P. Banks
Publisher:
ISBN: 9780138125790
Category : Image processing
Languages : en
Pages : 410

Book Description
A detailed exposition of the main areas of signal processing, this book is divided into three sections: one-dimensional signal processing and digital filters; two-dimensional signal processing and image processing; and pattern recognition.

Guide to Signals and Patterns in Image Processing

Guide to Signals and Patterns in Image Processing PDF Author: Apurba Das
Publisher:
ISBN: 9783319141732
Category :
Languages : en
Pages :

Book Description
This unique text/reference reviews the field of digital image processing from the different perspectives offered by the separate domains of signal processing and pattern recognition. The book describes a rich array of applications, representing the latest trends in industry and academic research. To inspire further interest in the field, a selection of elegant, worked-out numerical problems are also included in the text. The content is presented in an accessible manner, examining each topic in depth without assuming any prior knowledge from the reader, and providing additional background material in the appendices. Topics and features: Introduces the processes of sampling, quantization and encoding of images, as well as the operations of convolution and correlation, and the basic geometric transformations Covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain Describes the basics of the physics of light and color, and of the psycho-visual color system Reviews compression methods and formats for encoding images Discusses morphology-based image processing, which bridges signal processing and pattern recognition perspectives Examines state-of-the-art applications of techniques for feature extraction, selection, and reduction Investigates the modeling of object recognition in the human visual system for computer vision Provides electronic supplementary material, including MATLAB and C++ code, interactive GUI-based modules, and teaching slides at an associated website Appealing to a broad audience of students, tutors, researchers and professionals, this work offers an indispensable guide to image processing, pattern recognition and computer vision. The coverage draws upon the author's extensive experience in academic teaching and training, government R&D, and private industry.

Pattern Recognition and Signal Processing

Pattern Recognition and Signal Processing PDF Author: C.H. Chen
Publisher: Springer
ISBN:
Category : Psychology
Languages : en
Pages : 676

Book Description
Both pattern recognition and signal processing are rapidly growing areas. Organized with emphasis on many inter-relations between the two areas, a NATO Advanced Study Institute on Pattern Recognition and Signal Processing was held June 25th - July 4, 1978 at the E.N.S.T. (Department of Electronics) in Paris, France. This volume is the Proceedings of the Institute. It contains what I believed to be a truly outstanding collection of papers which cover all major activities in both pattern recognition and signal processing. The papers are grouped by topics as follows: I. Syntactic Methods: paper numbers 1, 2. II. Statistical Methods: paper numbers 3, 4, 5, 6. III. Detection and Estimation: paper numbers 7, 8. IV. Image Processing, Modelling, and Analysis: paper numbers 9, 10, 11, 12. V. Speech Application: paper numbers 13, 14. VI. Radar Application: paper number 15. Seismic Application: paper number 16. VII. Biomedical Application: paper numbers 17, 18, 19. VIII. IX. Reconstruction From Projections: paper numbers 20, 21- X. Signal Modelling and Application: paper numbers 22, 23, 24. XI. NATO Pattern Recognition Research Study Group Report: paper number 25. It is my strong belief that there is a need for continuing interaction between pattern recognition and signal processing. The book will serve as a useful text and reference for such a need, and for both areas. Finally on behalf of all participants of the Institute, I would like to thank Drs. T. Kester and M. N. Czdas of NATO for their support.

Signal and Image Processing for Biometrics

Signal and Image Processing for Biometrics PDF Author: Amine Nait-Ali
Publisher: John Wiley & Sons
ISBN: 1118588193
Category : Technology & Engineering
Languages : en
Pages : 353

Book Description
The aim of this book is to deal with biometrics in terms of signal and image processing methods and algorithms. This will help engineers and students working in digital signal and image processing deal with the implementation of such specific algorithms. It discusses numerous signal and image processing techniques that are very often used in biometric applications. In particular, algorithms related to hand feature extraction, speech recognition, 2D/3D face biometrics, video surveillance and other interesting approaches are presented. Moreover, in some chapters, Matlab codes are provided so that readers can easily reproduce some basic simulation results. This book is suitable for final-year undergraduate students, postgraduate students, engineers and researchers in the field of computer engineering and applied digital signal and image processing. 1. Introduction to Biometrics, Bernadette Dorizzi. 2. Introduction to 2D Face Recognition, Amine Nait-Ali and Dalila Cherifi. 3. Facial Soft Biometrics for Person Recognition, Antitza Dantcheva, Christelle Yemdji, Petros Elia and Jean-Luc Dugelay. 4. Modeling, Reconstruction and Tracking for Face Recognition, Catherine Herold, Vincent Despiegel, Stéphane Gentric, Séverine Dubuisson and Isabelle Bloch. 5. 3D Face Recognition, Mohsen Ardabilian, Przemyslaw Szeptycki, Di Huang and Liming Chen. 6. Introduction to Iris Biometrics, Kamel Aloui, Amine Nait-Ali, Régis Fournier and Saber Naceur. 7. Voice Biometrics: Speaker Verification and Identification, Foezur Chowdhury, Sid-Ahmed Selouani and Douglas O’Shaughnessy. 8. Introduction to Hand Biometrics, Régis Fournier and Amine Nait-Ali. 9. Multibiometrics, Romain Giot, Baptiste Hemery, Estelle Cherrier and Christophe Rosenberger. 10. Hidden Biometrics, Amine Nait-Ali, Régis Fournier, Kamel Aloui and Noureddine Belgacem. 11. Performance Evaluation of Biometric Systems, Mohamad El-Abed, Romain Giot, Baptiste Hemery, Julien Mahier and Christophe Rosenberger. 12. Classification Techniques for Biometrics, Amel Bouchemha, Chérif Nait-Hamoud, Amine Nait-Ali and Régis Fournier. 13. Data Cryptography, Islam Naveed and William Puech. 14. Visual Data Protection, Islam Naveed and William Puech. 15. Biometrics in Forensics, Guillaume Galou and Christophe Lambert.

Signal Processing, Image Processing and Pattern Recognition

Signal Processing, Image Processing and Pattern Recognition PDF Author: Tai-hoon Kim
Publisher: Springer Science & Business Media
ISBN: 3642271820
Category : Computers
Languages : en
Pages : 460

Book Description
This book comprises selected papers of the International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2011, held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, in Conjunction with GDC 2011, Jeju Island, Korea, in December 2011. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of signal processing, image processing and pattern recognition.

Image Processing, Computer Vision, and Pattern Recognition

Image Processing, Computer Vision, and Pattern Recognition PDF Author: Hamid R. Arabnia
Publisher: 2019 Worldcomp Internation
ISBN: 9781601325068
Category : Computers
Languages : en
Pages : 0

Book Description
Proceedings of the 2019 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'19) held July 29th - August 1st, 2019 in Las Vegas, Nevada.

Pattern Recognition and Image Preprocessing

Pattern Recognition and Image Preprocessing PDF Author: Sing T. Bow
Publisher: CRC Press
ISBN: 9780203903896
Category : Technology & Engineering
Languages : en
Pages : 736

Book Description
Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains discussions on dimensionality reduction and feature selection; novel computer system architectures; proven algorithms for solutions to common roadblocks in data processing; computing models including the Hamming net, the Kohonen self-organizing map, and the Hopfield net; detailed appendices with data sets illustrating key concepts in the text; and more.

Pattern Recognition and Signal Analysis in Medical Imaging

Pattern Recognition and Signal Analysis in Medical Imaging PDF Author: Anke Meyer-Baese
Publisher: Elsevier
ISBN: 0124166156
Category : Technology & Engineering
Languages : en
Pages : 467

Book Description
Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging. - New edition has been expanded to cover signal analysis, which was only superficially covered in the first edition - New chapters cover Cluster Validity Techniques, Computer-Aided Diagnosis Systems in Breast MRI, Spatio-Temporal Models in Functional, Contrast-Enhanced and Perfusion Cardiovascular MRI - Gives readers an unparalleled insight into the latest pattern recognition and signal analysis technologies, modeling, and applications