Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab (英語) ペーパーバック – 2011/1/4
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This 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. The approach taken is essentially practical and the book offers a framework within which the concepts can be understood by a series of well chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering.
Clearly divided into eleven distinct chapters, the book begins with a fast-start introduction to image processing to enhance the accessibility of later topics. Subsequent chapters offer increasingly advanced discussion of topics involving more challenging concepts, with the final chapter looking at the application of automated image classification (with Matlab examples) .
Matlab is frequently used in the book as a tool for demonstrations, conducting experiments and for solving problems, as it is both ideally suited to this role and is widely available. Prior experience of Matlab is not required and those without access to Matlab can still benefit from the independent presentation of topics and numerous examples.
- Features a companion website www.wiley.com/go/solomon/fundamentals containing a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself.
- Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike.
“Given the timely topic and its user-friendly structure, this book can therefore target a suite of users, from students to experienced researchers willing to integrate the science of image processing to strengthen their research.” (Ethology Ecology & Evolution, 1 May 2013)
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It is highly recommended to make use of the website if you wish to get the full value from this book. The website provides all the matlab custom functions and examples used in this book as well as the images. Additionally, the website has an existing errata and also has a way to report errors you may find in the book. Very impressed.
It is an "introduction" because it covers all the basic subjects of Image Processing in just 300 pages; it is "practical" because it invites you to test the concepts with the help of MATLAB programs, the book is still useful regardless of the knowledge and the use of MATLAB.
The style of the authors is, for me, nice and close to the reader, the authors sometimes understand the doubts that a student may have and clarify them, I think for example at the explanation of the 2D Fourier transform where they explain that the double integral is not to be solved by hand! I think this kind of clarifications help the student, especially the one that is no longer in school / college but who needs to improve his knowledge in a self-study way (this is my case). In general, the style is not overly formal and resembles a live lecture rather than a treatise.
Although this is a book on the fundamentals of image processing there are also introductions to more advanced topics (for example, I really liked the introduction to image segmentation with Markov random fields) that arise, in my opinion, as effective incentives to deepen the discussion on specialized books (in relation to the example I think for example at Computer Vision: Models, Learning, and Inference by Simon J.D. Prince).
I conclude by emphasizing the friendliness and helpfulness of both authors, I contacted them via email for clarification and they answered promptly.