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Guide to Signals and Patterns in Image Processing: Foundations, Methods and Applications

Autor Apurba Das
en Limba Engleză Hardback – 5 mai 2015
This text 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 worked-out numerical problems is 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. Features: covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain; reviews compression methods and formats for encoding images; discusses morphology-based image processing; investigates the modeling of object recognition in the human visual system; provides supplementary material, including MATLAB and C++ code, and interactive GUI-based modules, at an associated website.
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Specificații

ISBN-13: 9783319141718
ISBN-10: 3319141716
Pagini: 412
Ilustrații: XXIV, 416 p. 372 illus., 102 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.79 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Public țintă

Graduate

Cuprins

Introduction to Digital Images.- Image Enhancement in the Spatial Domain.- Interpretation and Processing of Images in the Frequency Domain.- Color Science and Color Technology.- Wavelets: Multi-Resolution Image Processing.- Compression and Encoding of Images: Image Formats.- Morphology-Based Image Processing.- Patterns in Images and their Applications.- Psycho-Visual Pattern Recognition: Computer Vision.- Appendix A: Digital Differentiation and Edge Detection.- Appendix B: Elementary Probability Theory.- Appendix C: Frequently Used MATLAB Functions.

Notă biografică

Apurba Das is a Technical Specialist in the Image Processing Lab at HCL Technologies, Chennai, India. He has previously served as a Scientist in the Advanced Image Processing Lab at the Centre for Development of Advanced Computing, a R&D organization of the Indian Government Ministry of Communications and Information Technology. His other Springer publications include the books Signal Conditioning: An Introduction to Continuous Wave Communication and Signal Processing and Digital Communication: Principles and System Modelling.

Textul de pe ultima copertă

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.

Caracteristici

Provides an integrated presentation of digital image processing and pattern recognition Supplies software for applications developed using Adobe Flash, Matlab and C++, for hands-on practice Discusses state-of-art research and applications, and provides solved problems Includes supplementary material: sn.pub/extras Request lecturer material: sn.pub/lecturer-material