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Image Processing and Analysis Stan Birchfield (Clemson University, Clemson, South Carolina Microsoft Corporation, Redmond, Washington)

Image Processing and Analysis By Stan Birchfield (Clemson University, Clemson, South Carolina Microsoft Corporation, Redmond, Washington)

Image Processing and Analysis by Stan Birchfield (Clemson University, Clemson, South Carolina Microsoft Corporation, Redmond, Washington)

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Image Processing and Analysis Summary

Image Processing and Analysis by Stan Birchfield (Clemson University, Clemson, South Carolina Microsoft Corporation, Redmond, Washington)

Gain a firm understanding of image processing as you cover the major topics of the field using a balanced approach that progresses from simple explanations to more detailed descriptions within IMAGE PROCESSING AND ANALYSIS. This easy-to-follow, accessible book emphasizes a basic, fundamental understanding of the classic algorithms in the field while also highlighting recent research results. You can grasp the subtle tradeoffs among different approaches as well as understand them in context with the latest developments in the field. Numerous full-color illustrations and detailed pseudocode bridge the gap between mathematical equations underlying the important concepts and real-world application of those concepts. This understanding makes it easier for you to program your own implementations of these algorithms. In addition, consistent notation throughout this edition makes it easier to follow the various concepts.

About Stan Birchfield (Clemson University, Clemson, South Carolina Microsoft Corporation, Redmond, Washington)

Dr. Stan Birchfield conducts research and development at Microsoft (R) Corporation, working on various aspects of robotics and computer vision. Previously, he was an assistant professor, then associate professor in the Electrical and Computer Engineering Department of Clemson University, where he spent a decade conducting research and teaching. He remains an adjunct faculty member at Clemson. He received a Ph.D. in Electrical Engineering with a minor in Computer Science from Stanford University in 1999, an M.S. from Stanford in 1996, and a B.S. from Clemson in 1993. While at Stanford, his research was supported by a National Science Foundation Graduate Research Fellowship, and he was part of the team that won first place at the AAAI Mobile Robotics Competition of 1994. After graduating from Stanford, he spent four years as a research engineer at a startup company in Palo Alto, California. At Clemson he co-founded a startup that uses computer vision to automatically collect aggregate traffic parameters from live video feeds. Over the years he has worked with or consulted for various companies, including Sun Microsystems, SRI International, Canon, Microsoft, and Autodesk. Dr. Birchfield has authored or co-authored more than 70 publications in the areas of computer vision, stereo correspondence, visual tracking, spatial acoustics, and mobile robotics, and his open-source software has been used by thousands of researchers around the world.

Table of Contents

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.

Additional information

CIN1285179528G
9781285179520
1285179528
Image Processing and Analysis by Stan Birchfield (Clemson University, Clemson, South Carolina Microsoft Corporation, Redmond, Washington)
Stan Birchfield (Clemson University, Clemson, South Carolina Microsoft Corporation, Redmond, Washington)
Used - Good
Paperback
Cengage Learning, Inc
2017-01-01
718
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in good condition, but if you are not entirely satisfied please get in touch with us

Customer Reviews - Image Processing and Analysis