Principles of Digital Image Processing: Core AlgorithmsThis is the second volume of a book series that provides a modern, algori- mic introduction to digital image processing. It is designed to be used both by learners desiring a ?rm foundation on which to build and practitioners in search of critical analysis and modern implementations of the most important techniques. This updated and enhanced paperback edition of our compreh- sive textbook Digital Image Processing: An Algorithmic Approach Using Java packages the original material into a series of compact volumes, thereby s- porting a ?exible sequence of courses in digital image processing. Tailoring the contents to the scope of individual semester courses is also an attempt to p- vide a?ordable (and “backpack-compatible”) textbooks without comprimising the quality and depth of content. This second volume, titled Core Algorithms, extends the introductory - terial presented in the ?rst volume (Fundamental Techniques) with additional techniques that are, nevertheless, part of the standard image processing to- box. A forthcomingthird volume(Advanced Techniques) will extendthis series and add important material beyond the elementary level, suitable for an - vanced undergraduate or even graduate course. |
Contents
| 1 | |
Detecting Simple Curves | 49 |
4 | 69 |
63 | 80 |
Color Quantization | 87 |
Colorimetric Color Spaces 97 | 96 |
Introduction to Spectral Techniques | 125 |
The Discrete Fourier Transform in 2D | 157 |
The Discrete Cosine Transform DCT | 183 |
Geometric Operations | 191 |
Comparing Images | 255 |
A Mathematical Notation | 279 |
| 313 | |
| 320 | |
Other editions - View all
Principles of Digital Image Processing: Fundamental Techniques Wilhelm Burger,Mark J. Burge Limited preview - 2010 |
Principles of Digital Image Processing: Advanced Methods Wilhelm Burger,Mark J. Burge Limited preview - 2013 |
Principles of Digital Image Processing: Advanced Methods Wilhelm Burger,Mark J. Burge No preview available - 2013 |
Common terms and phrases
accumulator array affine transformation algorithm angle arbitrary basis functions bicubic interpolation bilinear bilinear interpolation binary image chain code chamfer CIE XYZ coefficient color space ColorBox ColorNode components computed coordinates corner points correlation corresponding cubic defined described Digital Image Processing direction discrete discrete signal distance transform double edge end of class Euclidean distance example Exercise Figure filter float FloatProcessor foreground pixel Fourier spectrum Fourier transform frequency space function g(x Hough transform image point ImageJ ImagePlus ImageProcessor implementation import interpolation kernel inverse Java Kmax LinearMapping mapping match matrix maximum median-cut nonlinear one-dimensional orientation original image parameter space Point2D position quadrilaterals quantization reference image region labeling resulting RGB color RGB color space rotation sampling frequency search image signal g(x sine functions specified spectral sRGB static template two-dimensional vector wave numbers Wcub white point windowing function XYZ color


