Principles of Digital Image Processing: Core Algorithms
Wilhelm Burger, Ph.D., is the program director for Digital Media at Upper Austria University of Applied Sciences in Hagenberg. Dr. Mark J. Burge is a senior principal in Noblis' Center for National Security and Intelligence in Washington, D.C.
This user-friendly textbook is the second of three volumes that provide a modern, algorithmic introduction to digital image processing. It is intended for both learners looking for a solid foundation and practitioners looking for critical analysis and concrete implementations of the most important techniques. This volume expands on the introductory material presented in the first volume (Fundamental Techniques) by introducing new techniques that are not part of the standard image-processing toolbox.
Topics and features:
- Practical examples and carefully constructed chapter-ending exercises based on the authors' years of teaching this material are provided.
- For programmers and practitioners, real implementations, concise mathematical notation, and precise algorithmic descriptions are provided.
- Java code that is easily adaptable and fully worked-out examples for easy inclusion in existing (and rapid prototyping of new) applications
- ImageJ is an image processing system developed, maintained, and freely distributed by the National Institutes of Health in the United States (NIH)
- www.imagingbook.com is a supplementary website that contains the complete Java source code, test images, and corrections.
- A complete set of figures, tables, and mathematical elements are available as additional presentation tools for instructors.
This comprehensive, reader-friendly text will provide undergraduates with a deeper understanding of the subject and will be invaluable for furthering knowledge through self-study. Principles of Digital Image Processing: Core Algorithms is among the best books on image processing.
Author: Wilhelm Burger and Mark J. Burge
Link to buy: https://www.amazon.com/gp/aw/d/1848001940/
Ratings: 5 out of 5 stars (from 9 reviews)
Best Sellers Rank: #1,613,796 in Kindle Store
#50 in Imaging Systems Computer Engineering
#142 in Pattern Recognition
#198 in Imaging Systems Engineering
