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Digital image processing and analysis is a field that continues to experience rapid growth, with applications in many facets of our lives. Areas such as medicine, agriculture, manufacturing, transportation, communication systems, and space exploration are just a few of the application areas. This book takes an engineering approach to image processing and analysis, including more examples and images throughout the text than the previous edition. It provides more material for illustrating the concepts, along with new PowerPoint slides. The application development has been expanded and updated, and the related chapter provides step-by-step tut
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Book ID Asin: 1498766021
Book Title: Digital Image Processing and Analysis: Applications with MATLAB and CVIPtools
Book Author: Scott E. Umbaugh
Book Format and Price:
Book Format Name: eTextbook
Book Format Price: $32.36-$93.99
Book Format Name: Hardcover
Book Format Price: $65.24-$130.47
Book Price: $130.47
Book Category: Books, Engineering & Transportation, Engineering and unknown
Book Rating: 4 ratings
Digital Image Processing and Analysis: Applications with MATLAB and CVIPtools by Scott E. Umbaugh Book Review
Name: Imaging and Vision Professor
Rating: 5.0 out of 5 stars
Title: Excellent text for computer vision and image processing understanding and applications development
Date: Reviewed in the United States on December 2, 2021
Review: This book is exceptionally well-written and unique in its approach and execution. Unlike many theoretically-based books, this one takes an engineering approach which is suitable for students learning about the topics, as well as working professionals who need a complete introduction to digital image processing and analysis. The idea that a computer vision system is a deployed image analysis system, helps to integrate all the computer vision, image analysis and image processing concepts into a unified whole. The examples are very clearly explained and help greatly for understanding the concepts presented. As a teacher I find the homework problems and programming exercises to very useful for the students, as well as saving me much time. The CVIPtools software really allows me to illustrate the material during lectures as well as having students perform exercises and see the results in real time. With the software ported to Matlab, this is great for our engineering students, but I find the computer science students prefer to use C/C++ version - so it is good that both these platforms are available both for application use and the exercises in the book. Overall, a valuable contribution to this field.
Name: Amazon Customer
Rating: 5.0 out of 5 stars
Title: Great introduction to Image Processing
Date: Reviewed in the United States on August 14, 2019
Review: I have been working as an engineer in industry for the past two years and have found this book to be very informative and well-written. This textbook is very approachable and serves as a gentle introduction to a variety of image processing techniques and most importantly provides a clear pipeline with how to apply the concepts in the text to real world applications. Far too many textbooks will delve deeply into the theoretical without bothering with the application. As an engineer, I am first and foremost interested in the application of knowledge to yield a measurable, significant outcome. Additionally, the accompanying software, CVIPtools, is integrated with MATLAB so my prior experience with MATLAB helped me quickly become accustomed to the CVIPtools interface and leverage it for my applications.
Name: William
Rating: 5.0 out of 5 stars
Title: Concise but thorough, buy it even if you don't need it for class
Date: Reviewed in the United States on April 15, 2021
Review: Digital Image Processing and Analysis is a solid book. I received access to the program without issue. While older in design, it has every function you could want for the most part. As a beginner to computer vision and image processing the book was very easy to understand. Also, you can skim it like a dictionary of image processing functions, but I would recommend reading the sections fully to actually understand what you're doing. The first section is the basics of how images can be created and how to use the software. The real meat is in sections 2 and 3. The whole book is very thorough, explaining how to use the algorithms practically, how they work, and why they work. A great supplement to an AI vision class or project, can really enhance what you're looking for with minimal processing. The edge finding algorithms are the strongest part of the book I think. You'll get your mileage out of this book.
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