Selected Product: | Digital Image Processing (3rd Edition) Hardcover Edition: 3 Author: Rafael C. Gonzalez, Richard E. Woods Publisher: Prentice Hall Release Date: 2007-08-31 ISBN-10: 013168728X ISBN-13: 9780131687288 List Price: $149.33 Average Customer Rating: | | Pattern Recognition and Machine Learning (Information Science and Statistics) ISBN-10: 0387310738 ISBN-13: 9780387310732 List Price:$84.95 Pattern Classification (2nd Edition) ISBN-10: 0471056693 ISBN-13: 9780471056690 List Price:$140.00 Digital Image Processing Using MATLAB(R) ISBN-10: 0130085197 ISBN-13: 9780130085191 List Price:$149.33 Computer Vision ISBN-10: 0130307963 ISBN-13: 9780130307965 List Price:$128.00 Algorithms for Image Processing and Computer Vision ISBN-10: 0471140562 ISBN-13: 9780471140566 List Price:$90.00 |
To use our price comparison to get the cheapest price, please click on the "Find the Cheapest Price" button located above for Digital Image Processing (3rd Edition) by Rafael C. Gonzalez, Richard E. Woods (ISBN-10: 013168728X, ISBN-13: 9780131687288). At this time we have not yet written a review for Digital Image Processing (3rd Edition) by Rafael C. Gonzalez, Richard E. Woods (ISBN-10: 013168728X, ISBN-13: 9780131687288). Please continue to keep checking back to this page as we are constantly adding reviews. Summaries and Customer Reviews are supplied by Amazon.com THE leader in the field for more than twenty years, this introduction to basic concepts and methodologies for digital image processing continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing. Completely self-contained, heavily illustrated, and mathematically accessible, it has a scope of application that is not limited to the solution of specialized problems. Digital Image Fundamentals. Image Enhancement in the Spatial Domain. Image Enhancement in the Frequency Domain. Image Restoration. Color Image Processing. Wavelets and Multiresolution Processing. Image Compression. Morphological Image Processing. Image Segmentation. Representation and Description. Object Recognition. For technicians interested in the fundamentals and contemporary applications of digital imaging processing Even better than the first edition | Customer Rating: | | This book is a wonderful read about image processing. Having read most of the 1st edition (yes I'm reading all of the 3rd), I can say that this 3rd edition is larger (yet not insurmountable) with more examples, explanations, mathematical development and new material. I'm currently in the chapter about frequency domain processing and must say that the previous chapter about spatial domain processing is more robust, even now including a good introduction to fuzzy logic. Anyhow, with a good background in applied math and Matlab programming, this material is easy reading for me, but should also be accessible enough for anyone with a general technical background. | Great Introduction to Image Processing | Customer Rating: | (This review refers to the second edition of the book)
This book is a simple and very well written introduction to Image Processing. This book starts off with the very basics of the subject. In fact the introduction is a bit too long and may be boring for some. The book contains many examples from different real world applications. In most chapters this book covers only the very basic techniques, so readers who want to study more advanced concepts will have to look elsewhere. For example, this book does not cover Canny edge detection which is probably the benchmark edge detection algorithm. The chapter on wavelets was refreshing; it concentrated more on how wavelets can be used for image processing and less on the math. The chapters on enhancement, restoration and color are elementary. The chapter on compression was quite good. The book ends with a few chapters on segmentation and pattern recognition. Overall, its a very good introductory textbook well suited for senior undergraduate/first year graduate students. | Simply Excellent! Fully Justifies Its Price! | Customer Rating: | The preface of this book starts with a quote: "When something can be read without effort, great effort has gone into its writing". And once you start reading the book, you realize how much the book lives upto this. Everything is written clearly and importany points are stressed again and again in each topic until you become fully familiar with them. Topics are written with implementation in mind, as you can get started with writing your own code instantly. The book makes the subject as interseting as it gets, and although some existing basic concepts of mathematics and statistics are quite helpful while reading, but you dont even have to be familiar with Digital Signal Processing to fully understand the contents. Finally, I'd like to say that out of the few poeple that fully understand a concept, fewer have the gift to deliver their knowledge to others, and the authors of this book have that gift. | Excellent book for Image Processing | Customer Rating: | | This book feeds the readers all the basic concepts of Image Processing. Very easily understandable and lucid in explanations. I would rate it one among the best EE books published so far. | OK book for 1st or 2nd year undergrads | Customer Rating: | I am giving this book 4 stars because it's quite descriptive and easy to follow. It covers some of the basic concepts behind digital image analysis and touches on the more general signal processing concepts, but it doesn't go very deep into the actual math. This may be what you want, but for me it was an assigned text for a 4th year undergrad course I took in college, and I found it inadequate. I felt like I could have written this book before I even started the class. At the same time, though, I think it would have been a great text for a more entry-level course.
If you want a text that goes in further detail and provides some math to chew on, I have to recommend the "Fundamentals of Digital Image Processing" by Anil K. Jain. It is also sold on Amazon, and I found it to be more appropriate for a 3rd year, 4th year, or Master's level course. |
|