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Digital Image Processing
From the reviews of the first "I recommend this book to anyone seriously engaged in image processing. It will clearly stretch the horizon of some readers and be a good reference for others. This is not just another image processing book; it is a book worth owning and a book worth reading several times ..." #J. Electronic Imaging#This practical guidebook uses the concepts and mathematics familiar to students of the natural sciences to provide them with a working knowledge of modern techniques of digital image processing. It takes readers from basic concepts to current research topics and demonstrates how digital image processing can be used for data gathering in research. Detailed examples of applications on PC-based systems and ready-to-use algorithms enhance the text, as do nearly 200 illustrations (16 in color). The book also includes the most exciting recent advances such as reconstruction of 3-D objects from projections and the analysis of stereo images and image sequences.
399 pages, Paperback
First published November 1, 1991
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Displaying 1 - 2 of 2 reviews
November 10, 2019
It's very bad representation of mathematical backgrounds. Providing a *new* formula with *first* appeared variables without any previous declaration or later explanation for them - it's common practice for the author. The reader is forced to skip such paragraphs at all or to find (not basic!) foundations for these concepts. For those of us, whose mathematical skills is not so solid, material looks overcomplicated. It's better to except it at all or make it more clear.
Some image descriptions (or references to them inside text) are misleading (ref to pic 2.11, i.e.).
So, if you want to really understand Fourier transformation applied to image processing, for example, this book is not for you, sadly. Try another source with better explanation (with Euler formula and other context for complex numbers too).
I expected more from this book.
Some image descriptions (or references to them inside text) are misleading (ref to pic 2.11, i.e.).
So, if you want to really understand Fourier transformation applied to image processing, for example, this book is not for you, sadly. Try another source with better explanation (with Euler formula and other context for complex numbers too).
I expected more from this book.
November 16, 2007
caranya menerangkan konsep pengolahan bagus. terutama bagi yang agak alergi sama notasi formal (matematis).
bener2 membuka insight..
bikin topik pengolahan citra dari basi jadi menarik..
bener2 membuka insight..
bikin topik pengolahan citra dari basi jadi menarik..
Displaying 1 - 2 of 2 reviews