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Digital Image Processing : A Signal Processing and Algorithmic Approach / by D. Sundararajan.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Sundararajan, D., author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Language:
English
Subjects (All):
Optical data processing.
Artificial intelligence.
Signal processing.
Image processing.
Speech processing systems.
Automatic control.
Robotics.
Mechatronics.
Radiology.
Image Processing and Computer Vision.
Artificial Intelligence.
Signal, Image and Speech Processing.
Control, Robotics, Mechatronics.
Imaging / Radiology.
Local Subjects:
Image Processing and Computer Vision.
Artificial Intelligence.
Signal, Image and Speech Processing.
Control, Robotics, Mechatronics.
Imaging / Radiology.
Physical Description:
1 online resource (XVII, 468 pages) : 182 illustrations, 17 illustrations in color
Edition:
First edition 2017.
Contained In:
Springer eBooks
Place of Publication:
Singapore : Springer Singapore : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
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.
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-981-10-6113-4
9789811061134
Access Restriction:
Restricted for use by site license.

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