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Most Helpful Customer Reviews
0 of 1 people found the following review helpful:
5.0 out of 5 stars
Great introduction to image processing,
By
This review is from: Digital Image Processing: An Algorithmic Introduction using Java (Kindle Edition)
I highly recommend this book for any person who can read code more than Mathematically formulas.
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Most Helpful Customer Reviews on Amazon.com (beta) Amazon.com:
4.8 out of 5 stars (11 customer reviews) 11 of 11 people found the following review helpful:
4.0 out of 5 stars
Discusses the basics of image processing using Java,
By calvinnme - Published on Amazon.com
This review is from: Digital Image Processing: An Algorithmic Introduction Using Java (Texts in Computer Science) (Hardcover)
This book teaches the basic algorithms used in image processing and implements many of these algorithms in ImageJ. ImageJ is open source and denotes both a stand-alone Java application and a library of image transformations written in Java. The book succeeds at showing the mathematics of each transform, of showing pseudocode for each algorithm, and implementing various algorithms in complete code. Each chapter has exercises for the student, and I found the textbook to be well illustrated and well written. The book assumes you have mathematical maturity through calculus and that you already know how to program in Java. The book does take the time to explain ImageJ to you, although if you know Java working with another API/library should be easy to handle. The following is the table of contents:
Crunching Pixels. Digital Images. ImageJ. Histograms. Point Operations. Filters. Edges and Contours. Corner Detection. Detecting Simple Curves. Morphological Filters. Regions in Binary Images. Color Images. Introduction to Spectral Techniques. The Discrete Fourier Transform in 2D. The Discrete Cosine Transform (DCT). Geometrical Operations. Comparing Images. Appendices A Mathematical Notation. B Java Notes. C ImageJ Short Reference. D Source Code. If you want to preview the code to get an idea of the level of sophistication of the solutions offered, just go to the book's website and you can download the source code offered there. This book is good, but I still think if you want the definitive guide to the subject you want to get "Digital Image Processing 3rd Edition" by Gonzalez and Woods. That book is quite accessible and gets into all of the theory of digital image processing. That book paired with this one should cover both theory and implementation quite well. 4 of 4 people found the following review helpful:
5.0 out of 5 stars
highly recommend,
By Dorman G. Lambright - Published on Amazon.com
This review is from: Digital Image Processing: An Algorithmic Introduction Using Java (Texts in Computer Science) (Hardcover)
This book is very well organized, and the content is exactly what I have been looking for. It met my needs as far as helping me with my own image processing, as well as for training microscopists in a core facility in image processing. Really really fantastic - thorough content, clear and easy to follow, from basic processing concepts on to specific applications in Java (in particular ImageJ). GREAT!!! I really appreciate the authors translating this - and it is very well translated!
4 of 4 people found the following review helpful:
5.0 out of 5 stars
Great book - applicable to real-world problems!,
By NerdGirl - Published on Amazon.com
This review is from: Digital Image Processing: An Algorithmic Introduction Using Java (Texts in Computer Science) (Hardcover)
I have been waiting for this book a long time! A German colleague had the German edition and was always pulling out solutions from it. Now, I no longer need to rely on him. This book provides many great explanations and methods that really work, including code (which is also downloadable from the website that accompanies this book). As a medical doctor, scientist, and engineer, I appreciate the practicality of such a technical book that does not get lost in the mathematics. I deal with a variety of medical images all the time and have been looking for a book like this for myself and other colleagues in the field who want to get started in solving their own image processing problems. It has great examples of all the basic methods as well as some pretty advanced ones I am starting to get into. For instance, the color chapter has 70 pages and lots of details. It's also a very good value for a full color 500+ page, 3+ pound book and gives you alot of bang for your buck! I have purchased alot of image processing books in the past, but I am definitely keeping this one...
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