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Digital Image Processing

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1 Introduction.- 2 Image Formation and Digitization.- 3 Space and Wave Number Domain.- 4 Pixels.- 5 Neighborhoods.- 6 Mean and Edges.- 7 Local Orientation.- 8 Scales.- 9 Texture.- 10 Segmentation.- 11 Shape.- 12 Classification.- 13 Reconstruction from Projections.- 14 Motion.- 15 Displacement Vectors.- 16 Displacement Vector Fields.- 17 Space-Time Images.- A Mathematical Preliminaries.- A.1 Matrix Algebra.- A.1.1 Definitions.- A.1.2 The Overdetermined Discrete Inverse Problem.- A.1.3 Suggested Further Readings.- A.2 Fourier Transformation.- A.2.1 Definition.- A.2.2 Properties of the Fourier Transform.- A.2.3 Important Fourier Transform Pairs.- A.2.4 Suggested Further Readings.- A.3 Discrete Fourier transform (DFT).- A.3.1 Definition.- A.3.2 Important Properties.- A.3.3 Important Transform Pairs.- A.3.4 Suggested Further Readings.- B PC-Based Image Processing Systems.- B.1 Overview.- B.2 Video Input.- B.3 Frame Buffer.- B.4 Video Output.- B.5 Dedicated Image Processing Hardware.- B.5.1 Processing Area-of-Interest.- B.5.2 Arithmetic Pipeline Processors.- B.5.3 Filter processors.- B.5.4 Histogram and Feature Extractors.- B.5.5 Parallel Processing in the Video Pipeline.- B.6 Programmable Systems.

Paperback

First published November 1, 1991

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Jahne

2 books

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Displaying 1 - 2 of 2 reviews
Profile Image for Wit Serdakovskiy.
23 reviews1 follower
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.
Profile Image for Peb.
11 reviews
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..
Displaying 1 - 2 of 2 reviews

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