Digital Image Processing: An Algorithmic Introduction Using Java
- ISBN-10
- 1846283795
- ISBN-13
- 9781846283796
- Series
- Digital Image Processing
- Category
- Computers
- Pages
- 565
- Language
- English
- Published
- 2012-01-19
- Publisher
- Springer Science & Business Media
- Authors
- Wilhelm Burger, Mark J. Burge
Description
Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing.
Get the book
Other editions
-
- 2013-03-09
- 383 pages
- Ebook
- Springer Science & Business Media
Similar books
-
Digital Image Processing
By Rafael C. Gonzalez, Richard Eugene WoodsSPIE Press, Bellingham, Wash., pp. 277–305. Basart, J. P.,Chacklackal, M. S., and Gonzalez, R. C. [1992].“Introduction to Gray-Scale Morphology,” in Advances in Image Analysis,Y.Mahdavieh and R. C. Gonzalez (eds.) ...
-
Digital Image Processing, EBook, Global Edition
By Rafael C. Gonzalez, Richard E. WoodsAs in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition is based on an extensive survey of faculty, students, and independent readers in 5 institutions from 3 countries.
-
Digital Image Processing: Principles and Applications
By Gregory A. BaxesA common form of lossy block - compression is a technique known as vector quantization ( VQ ) . Vector quantization methods generally operate on relatively small two - dimensional pixel block sizes , like 4 x 4 pixels .
-
Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab
By Chris Solomon, Toby BreckonThis is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition.
-
Introduction to Digital Image Processing
By William K. PrattA. Albert, Regression and the Moore–Penrose Pseudoinverse, Academic Press, New York, 1972. 23. H. C. Andrews and C. L. Patterson, “Outer Product Expansions and Their Uses in Digital Image Processing,” American Mathematical.
-
Digital Image Processing Methods
By Edward R. DoughertyThis unique reference presents in-depth coverage of the latest methods and applications of digital image processing describing various computer architectures ideal for satisfying specific image processing demands.
-
Digital Image Processing: A Signal Processing and Algorithmic Approach
By D. SundararajanThis 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.
-
Fundamentals of Digital Image Processing
By S. AnnaduraiFundamentals of Digital Image Processing
-
Digital Image Processing,2/e
By GonzálezEn introduktion til digital billedbehandling.
-
Principles of Digital Image Processing: Advanced Methods
By Wilhelm Burger, Mark J. BurgeThis volume builds upon the introductory material presented in the first two volumes with additional key concepts and methods in image processing.