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Image Processing and Analysis

Image Processing and Analysis

ISBN 9781285179520
Edition 1
Publication Date
Publisher Cengage
Author(s)
Overview
1. INTRODUCTION. Image processing and analysis. History and related fields. Sample applications. Image basics. Looking forward. Further reading. Problems. 2. FUNDAMENTALS OF IMAGING. Vision in nature. Image formation. Image acquisition. Other imaging modalities. A detailed look at electromagnetic radiation. Further reading. Problems. 3. POINT AND GEOMETRIC TRANSFORMATIONS. Simple geometric transformations. Graylevel transformations. Graylevel histograms. Multi-spectral transformations. Multi-image transformations. Change detection. Compositing. Interpolation. Warping. Further reading. Problems. 4. BINARY IMAGE PROCESSING. Morphological operations. Labeling regions. Computing distance in a digital image. Region properties. Skeletonization. Boundary representations. 5. SPATIAL-DOMAIN FILTERING. Convolution. Smoothing by convolving with a Gaussian. Computing the first derivative. Computing the second derivative. Nonlinear filters. Grayscale morphological operators. Further reading. Problems. 6. FREQUENCY-DOMAIN PROCESSING. Fourier transform. Discrete Fourier transform (DFT). Two-dimensional DFT. Frequency-domain filtering. Localizing frequencies in time. Discrete wavelet transform (DWT). Further reading. Problems. 7. EDGES AND FEATURES. Multiresolution processing. Edge detection. Approximating intensity edges with polylines. Feature detectors. Feature descriptors. Further reading. Problems. 8. COMPRESSION. Basics. Lossless compression. Lossy compression. Compression of videos. Further reading. Problems. 9. COLOR. Physics and psychology of color. Trichromacy. Designating colors. Linear color transformations. Color spaces. Further reading. Problems. 10. SEGMENTATION. Thresholding. Deformable models. Image segmentation. Graph-based methods. Further reading. Problems. 11. MODEL FITTING Fitting curves. Fitting point cloud models. Robustness to noise. Fitting multiple models. Further reading. Problems. 12. CLASSIFICATION. Fundamentals. Statistical pattern recognition. Generative methods. Discriminative methods. Further reading. Problems. 13. STEREO AND MOTION. Human stereopsis. Matching stereo images. Computing optical flow. Projective geometry. Camera calibration. Geometry of multiple views. Further reading. Problems.
Overview
1. INTRODUCTION. Image processing and analysis. History and related fields. Sample applications. Image basics. Looking forward. Further reading. Problems. 2. FUNDAMENTALS OF IMAGING. Vision in nature. Image formation. Image acquisition. Other imaging modalities. A detailed look at electromagnetic radiation. Further reading. Problems. 3. POINT AND GEOMETRIC TRANSFORMATIONS. Simple geometric transformations. Graylevel transformations. Graylevel histograms. Multi-spectral transformations. Multi-image transformations. Change detection. Compositing. Interpolation. Warping. Further reading. Problems. 4. BINARY IMAGE PROCESSING. Morphological operations. Labeling regions. Computing distance in a digital image. Region properties. Skeletonization. Boundary representations. 5. SPATIAL-DOMAIN FILTERING. Convolution. Smoothing by convolving with a Gaussian. Computing the first derivative. Computing the second derivative. Nonlinear filters. Grayscale morphological operators. Further reading. Problems. 6. FREQUENCY-DOMAIN PROCESSING. Fourier transform. Discrete Fourier transform (DFT). Two-dimensional DFT. Frequency-domain filtering. Localizing frequencies in time. Discrete wavelet transform (DWT). Further reading. Problems. 7. EDGES AND FEATURES. Multiresolution processing. Edge detection. Approximating intensity edges with polylines. Feature detectors. Feature descriptors. Further reading. Problems. 8. COMPRESSION. Basics. Lossless compression. Lossy compression. Compression of videos. Further reading. Problems. 9. COLOR. Physics and psychology of color. Trichromacy. Designating colors. Linear color transformations. Color spaces. Further reading. Problems. 10. SEGMENTATION. Thresholding. Deformable models. Image segmentation. Graph-based methods. Further reading. Problems. 11. MODEL FITTING Fitting curves. Fitting point cloud models. Robustness to noise. Fitting multiple models. Further reading. Problems. 12. CLASSIFICATION. Fundamentals. Statistical pattern recognition. Generative methods. Discriminative methods. Further reading. Problems. 13. STEREO AND MOTION. Human stereopsis. Matching stereo images. Computing optical flow. Projective geometry. Camera calibration. Geometry of multiple views. Further reading. Problems.

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