Indeholder "Preface", "1. Introduction", " 1.1 Overview", " 1.2 Human and computer vision", " 1.3 The human vision system", " 1.3.1 The eye", " 1.3.2 The neural system", " 1.3.3 Processing", " 1.4 Computer vision systems", " 1.4.1 Cameras", " 1.4.2 Computer interfaces", " 1.4.3 Processing an image", " 1.5 Mathematical systems", " 1.5.1 Mathematical tools", " 1.5.2 Hello Mathcad, hello images!", " 1.5.3 Hello Matlab!", " 1.6 Associated literature", " 1.6.1 Journals and magazines", " 1.6.2 Textbooks", " 1.6.3 The web", " 1.7 References", "2. Images, sampling and frequency domain processing", " 2.1 Overview", " 2.2 Image formation", " 2.3 The Fourier transform", " 2.4 The sampling criterion", " 2.5 The discrete Fourier transform", " 2.5.1 One-dimensional transform", " 2.5.2 Two-dimensional transform", " 2.6 Other properties of the Fourier transform", " 2.6.1 Shift invariance", " 2.6.2 Rotation", " 2.6.3 Frequency scaling", " 2.6.4 Superposition (linearity)", " 2.7 Transforms other than Fourier", " 2.7.1 Discrete cosine transform", " 2.7.2 Discrete Hartley transform", " 2.7.3 Introductory wavelets: the Gabor wavelet", " 2.7.4 Other transforms", " 2.8 Applications using frequency domain properties", " 2.9 Further reading", " 2.10 References", "3. Basic image processing operations", " 3.1 Overview", " 3.2 Histograms", " 3.3 Point operators", " 3.3.1 Basic point operations", " 3.3.2 Histogram normalization", " 3.3.3 Histogram equalization", " 3.3.4 Thresholding", " 3.4 Group operations", " 3.4.1 Template convolution", " 3.4.2 Averaging operator", " 3.4.3 On different template size", " 3.4.4 Gaussian averaging operator", " 3.5 Other statistical operators", " 3.5.1 More on averaging", " 3.5.2 Median filter", " 3.5.3 Mode filter", " 3.5.4 Comparison of statistical operators", " 3.6 Further reading", " 3.7 References", "4. Low-level feature extraction (including edge detection)", " 4.1 Overview", " 4.2 First order edge detection operators", " 4.2.1 Basic operators", " 4.2.2 Analysis of the basic operators", " 4.2.3 Prewitt edge detection operator", " 4.2.4 Sobel edge detection operator", " 4.2.5 The Canny edge detection operator", " 4.3 Second order edge detection operators", " 4.3.1 Motivation", " 4.3.2 Basic operators: the Laplacian", " 4.3.3 The Marr-Hildreth operator", " 4.4 Other edge detection operators", " 4.4.1 Spacek operator", " 4.4.2 Petrou operator", " 4.5 Comparison of edge detection operators", " 4.6 Detecting image curvature", " 4.6.1 Computing differences in edge direction", " 4.6.2 Approximation to a continuous curve", " 4.6.3 Measuring curvature by changes in intensity", " 4.6.4 Autocorrelation as a measure of curvature", " 4.7 Describing image motion", " 4.7.1 Area-based approach", " 4-7-2 Differential approach", " 4.8 Further reading", " 4.9 References", "5. Feature extraction by shape matching", " 5.1 Overview", " 5.2 Thresholding and subtraction", " 5.3 Template matching", " 5.3.1 Definition", " 5.3.2 Fourier transform implementation", " 5.3.3 Discussion of template matching", " 5.4 Hough transform (HT)", " 5.4.1 Overview", " 5.4.2 Lines", " 5.4.3 HT for circles", " 5.4.4 HT for ellipses", " 5.4.5 Parameter space decomposition", " 5.5 Generalized Hough transform (GHT)", " 5.5.1 Formal definition of the GHT", " 5.5.2 Polar definition", " 5.5.3 The GHT technique", " 5.5.4 Invariant GHT", " 5.6 Other extensions to the Hough transform", " 5.7 Further reading", " 5.8 References", "6. Flexible shape extraction (snakes and other techniques)", " 6.1 Overview", " 6.2 Deformable templates", " 6.3 Active contours (snakes)", " 6.3.1 Basics", " 6.3.2 The greedy algorithm for snakes", " 6.3.3 Complete (Kass) snake implementation", " 6.3.4 Other snake approaches", " 6.3.5 Further snake developments", " 6.4 Discrete symmetry operator", " 6.5 Flexible shape models", " 6.6 Further reading", " 6.7 References", "7. Object description", " 7.1 Overview", " 7.2 Boundary descriptions", " 7.2.1 Boundary and region", " 7.2.2 Chain codes", " 7.2.3 Fourier descriptors", " 7.3 Region descriptors", " 7.3.1 Basic region descriptors", " 7.3.2 Moments", " 7.4 Further reading", " 7.5 References", "8. Introduction to texture description, segmentation and classification", " 8.1 Overview", " 8.2 What is texture?", " 8.3 Texture description", " 8.3.1 Performance requirements", " 8.3.2 Structural approaches", " 8.3.3 Statistical approaches", " 8.3.4 Combination approaches", " 8.4 Classification", " 8.4.1 The k-nearest neighbour rule", " 8.4.2 Other classification approaches", " 8.5 Segmentation", " 8.6 Further reading", " 8.7 References", "9. Appendices", " 9.1 Appendix 1: Example worksheets", " 9.1.1 References", " 9.2 Appendix 2: Least squares analysis", " 9.2.1 The least squares criterion", " 9.2.2 Curve fitting by least squares", " 9.3 Appendix 3: Example Mathcad worksheet for Chapter 3", " 9.4 Appendix 4: Abbreviated Matlab worksheet", "Index".

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