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A Practical Introduction to Computer Vision with OpenCV (Wiley-IS&T Series in Imaging Science and Technology)
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Review
“Although there are many computer vision books on the market that offer a more comprehensive approach to explaining the computer vision concepts, extremely few offer such comprehensive practical examples. In this context, the book would be very welcome by beginner code developers." (Computing Reviews, 8 August 2014)
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From the Back Cover
Computer Vision is a rapidly expanding area and it is becoming progressively easier for developers to make use of this field due to the ready availability of high quality libraries such as OpenCV3. This book discusses the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries. It explains how to use the relevant OpenCV library routines and is accompanied by a full working program including the code snippets from the text. It is a heavily illustrated, practical introduction to an exciting field, the applications of which are becoming ubiquitous. Key features: Offers an introduction to computer vision, with enough theory to make clear how the various algorithms work but with an emphasis on practical programming issues. Explains the basics of cameras and images and image processing to remove noise, before moving on to topics such as image histogramming; binary imaging; video processing to detect and model moving objects; geometric operations & camera models; edge detection; feature detection; and recognition in images. Contains a large number of vision application problems to provide students with the opportunity to solve real problems. Includes a companion website hosting images and code from the book, as well as application problem videos and images which allow students to attempt to solve the problems presented in the book.
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Product details
Series: Wiley-IS&T Series in Imaging Science and Technology
Paperback: 234 pages
Publisher: Wiley; 1 edition (May 12, 2014)
Language: English
ISBN-10: 9781118848456
ISBN-13: 978-1118848456
ASIN: 1118848454
Product Dimensions:
6.7 x 0.5 x 9.6 inches
Shipping Weight: 1.1 pounds (View shipping rates and policies)
Average Customer Review:
2.9 out of 5 stars
4 customer reviews
Amazon Best Sellers Rank:
#1,876,453 in Books (See Top 100 in Books)
The book material is ok although the amount of openCV content is pretty lacking. You are better off going to the openCV documentation site directly and working through the tutorials and examples.The real problem is that in the printed book I received, all the diagrams and images are grayscale ("Black and white"). Even the one (diagram 2.4, page 14) that explains how much more information is contained in a color image compared to a grayscale image. Both of which are grayscale. Subsequent images are all grayscale even the ones describing things where color is significant. This is a book on Computer Vision!. For the price, this shoddy printing is unacceptable. I returned it.
This book is an introduction, not only to the OpenCV library, but to the complexity of the problems computer vision systems are attempting to solve. The descriptions of the various OpenCV API calls are accompanied by explanations of why there is more than one way of performing certain functions, and under what circumstances each might yield the best results. For example, attempting to determine the outline of an object using simple thresholding may give misleading results if the lighting of the object in question was uneven.I also valued the general explanations of the underlying algorithms as an aid to understanding why one would use B rather than A. Many many references are supplied for those who wish to study the algorithms in detail.This book is not an all-inclusive reference to computer vision. It's a good way to get started for someone who knows little or nothing about the field.
A great practical hands on guide to OpenCV, really approachable without a strong background in Computer Vision. I like the background information as much as the examples. Don't expect the examples to be all encompassing, I found them to serve as a great launching point for my own experiments.
The book provides no explanation in the theory part and very minimum OpenCV code provided.
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