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171103 ||| eng |
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|a 9789811061134
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100 |
1 |
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|a Sundararajan, D.
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245 |
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|a Digital Image Processing
|h Elektronische Ressource
|b A Signal Processing and Algorithmic Approach
|c by D. Sundararajan
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250 |
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|a 1st ed. 2017
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260 |
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|a Singapore
|b Springer Nature Singapore
|c 2017, 2017
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300 |
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|a XVII, 468 p. 182 illus., 17 illus. in color
|b online resource
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505 |
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|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
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653 |
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|a Control, Robotics, Automation
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653 |
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|a Computer vision
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653 |
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|a Artificial Intelligence
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653 |
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|a Radiology
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653 |
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|a Computer Vision
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653 |
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|a Signal, Speech and Image Processing
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653 |
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|a Control engineering
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653 |
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|a Artificial intelligence
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653 |
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|a Robotics
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653 |
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|a Signal processing
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653 |
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|a Automation
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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028 |
5 |
0 |
|a 10.1007/978-981-10-6113-4
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856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-10-6113-4?nosfx=y
|x Verlag
|3 Volltext
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082 |
0 |
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|a 006.37
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520 |
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|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
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