Digital Image Processing A Signal Processing and Algorithmic Approach

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 numb...

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Bibliographic Details
Main Author: Sundararajan, D.
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2017, 2017
Edition:1st ed. 2017
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Digital Image Processing  |h Elektronische Ressource  |b A Signal Processing and Algorithmic Approach  |c by D. Sundararajan 
250 |a 1st ed. 2017 
260 |a Singapore  |b Springer Nature Singapore  |c 2017, 2017 
300 |a XVII, 468 p. 182 illus., 17 illus. in color  |b online resource 
505 0 |a Chapter 1. Introduction -- Chapter 2. Image Enhancement in the Spatial Domain -- Chapter 3. Fourier Analysis -- Chapter 4. Image Enhancement in the Frequency Domain -- Chapter 5. Image Restoration -- Chapter 6. Geometric Transformations and Image Registration -- Chapter 7. Image Reconstruction from Projections -- Chapter 8. Morphological Image Processing -- Chapter 9. Edge Detection -- Chapter 10. Segmentation -- Chapter 11. Object Description -- Chapter 12. Object Classification -- Chapter 13. Image Compression -- Chapter 14. Color Image Processing 
653 |a Control, Robotics, Automation 
653 |a Computer vision 
653 |a Artificial Intelligence 
653 |a Radiology 
653 |a Computer Vision 
653 |a Signal, Speech and Image Processing 
653 |a Control engineering 
653 |a Artificial intelligence 
653 |a Robotics 
653 |a Signal processing 
653 |a Automation 
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520 |a 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