Feature Extraction and Image Processing

Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. This is an ideal module text for courses in artificial intelligence, image processing and computer vision. It is an essential reading for engineers and academics working in this cutting-edge field. It is supported by free software on a companion website. Read more... Front Cover; Feature Extraction and Image Processing; Copyright Page; Contents; Preface; Chapter 1. Introduction; Chapter 2. Images, sampling and frequency domain processing; Chapter 3. Basic image processing operations; Chapter 4. Low-level feature extraction (including edge detection); Chapter 5. Feature extraction by shape matching; Chapter 6. Flexible shape extraction (snakes and other techniques); Chapter 7. Object description; Chapter 8. Introduction to texture description, segmentation and classification; Chapter 9. Appendices; Index Why did we write this book?......Page 9 The book and its support......Page 10 Final message......Page 12 1.2 Human and computer vision......Page 13 1.3 The human vision system......Page 15 1.4 Computer vision systems......Page 22 1.5 Mathematical systems......Page 27 1.6 Associated literature......Page 36 1.7 References......Page 40 2.2 Image formation......Page 43 2.3 The Fourier transform......Page 47 2.4 The sampling criterion......Page 52 2.5 The discrete Fourier transform ( DFT)......Page 57 2.6 Other properties of the Fourier transform......Page 65 2.7 Transforms other than Fourier......Page 69 2.8 Applications using frequency domain properties......Page 75 2.10 References......Page 77 3.2 Histograms......Page 79 3.3 Point operators......Page 81 3.4 Group operations......Page 91 3.5 Other statistical operators......Page 100 3.6 Further reading......Page 107 3.7 References......Page 108 4.2 First-order edge detection operators......Page 111 4.3 Second- order edge detection operators......Page 132 4.4 Other edge detection operators......Page 139 4.5 Comparison of edge detection operators......Page 141 4.6 Detecting image curvature......Page 142 4.7 Describing image motion......Page 157 4.8 Further reading......Page 168 4.9 References......Page 169 5.1 Overview......Page 173 5.2 Thresholding and subtraction......Page 174 5.3 Template matching......Page 176 5.4 Hough transform (HT)......Page 185 5.5 Generalised Hough transform (GHT)......Page 211 5.6 Other extensions to the HT......Page 225 5.8 References......Page 226 6.1 Overview......Page 229 6.2 Deformable templates......Page 230 6.3 Active contours (snakes)......Page 232 6.4 Discrete symmetry operator......Page 248 6.5 Flexible shape models......Page 252 6.7 References......Page 255 7.1 Overview......Page 259 7.2 Boundary descriptions......Page 260 7.3 Region descriptors......Page 290 7.5 References......Page 300 8.1 Overview......Page 303 8.2 What is texture?......Page 304 8.3 Texture description......Page 306 8.4 Classification......Page 313 8.5 Segmentation......Page 318 8.6 Further reading......Page 319 8.7 References......Page 320 9.1 Appendix 1: Homogeneous co-ordinate system......Page 323 9.2 Appendix 2: Least squares analysis......Page 326 9.3 Appendix 3: Example Mathcad worksheet for Chapter 3......Page 329 9.4 Appendix 4: Abbreviated Matlab worksheet......Page 348 Index......Page 356 Image processing and computer vision is currently a hot topic with undergraduates and professionals alike. 'Computer Vision and Image Processing' is the first book to provide a discussion of how techniques in this field can be implemented together, coupled with a deeper presentation of the analytical material. The additional working meta-level software on the web not only allows students to see the techniques described in the book actually working, but also lets them explore areas with which they are unfamiliar.Focusing on feature extraction while also encompassing issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the author has a clear and coherent approach that will appeal to all those interested in feature extraction. Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals.

*Ideal module text for courses in artificial intelligence, image processing and computer vision
*Essential reading for engineers and academics working in this cutting-edge field
*Supported by free software on a companion website This text focuses on feature extraction while also encompassing issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction