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Kategorie szczegółowe BISAC

Digital Image Processing: A Signal Processing and Algorithmic Approach

ISBN-13: 9789811355714 / Angielski / Miękka / 2018 / 468 str.

D. Sundararajan
Digital Image Processing: A Signal Processing and Algorithmic Approach Sundararajan, D. 9789811355714 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Digital Image Processing: A Signal Processing and Algorithmic Approach

ISBN-13: 9789811355714 / Angielski / Miękka / 2018 / 468 str.

D. Sundararajan
cena 240,93
(netto: 229,46 VAT:  5%)

Najniższa cena z 30 dni: 231,29
Termin realizacji zamówienia:
ok. 22 dni roboczych
Dostawa w 2026 r.

Darmowa dostawa!

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.

Kategorie:
Informatyka
Kategorie BISAC:
Computers > Software Development & Engineering - Computer Graphics
Technology & Engineering > Electronics - General
Technology & Engineering > Automation
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9789811355714
Rok wydania:
2018
Wydanie:
Softcover Repri
Ilość stron:
468
Waga:
0.79 kg
Wymiary:
15.5 x 23.2 x 3.5
Oprawa:
Miękka
Wolumenów:
01

"This textbook treats the topic from the very practical point of view, using a signal processing and algorithmic, approach. This means plenty of numerical examples, figures, tables, and algorithms, and no theorems and proofs. Such an approach makes the book easy to follow by a reader. ... This textbook is intended for engineers and computer science professionals. It can be useful for undergraduate and graduate level courses, and for self-study." (Agnieszka Lisowska, zbMATH 1392.94002, 2018)

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.

Dr. D. Sundararajan obtained his Ph.D. in Electrical Engineering at Concordia University, Montreal, Canada in 1988. He is the author of four books. As the principal inventor of the latest family of discrete Fourier transform (DFT) algorithms, he holds three patents (which have been granted by the US, Canada and Britain). Further, he has published several papers in IEEE Transactions and in the Proceedings of IEEE Conference. He has taught undergraduate and graduate classes in digital signal processing, digital image processing, engineering mathematics, programming, operating systems and digital logic design at Concordia University, Canada, Nanyang Technological University, Singapore, and Adhiyamaan College of Engineering, India. He has conducted workshops on Digital image processing, MATLAB and LaTeX.

Over the course of his engineering career, he has held positions at the National Aerospace Laboratory, Bangalore, and the National Physical Laboratory, New Delhi, where he worked on the design of digital and analog signal processing systems. Dr. Sundararajan holds a B.E. in Electrical Engineering from Madras University and an M.Tech in Electrical Engineering from the Indian Institute of Technology Chennai (IIT Chennai).

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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