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. *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 Why did we write this book?......Page 8 The book and its support......Page 9 Final message......Page 11 1.2 Human and computer vision......Page 12 1.3 The human vision system......Page 14 1.4 Computer vision systems......Page 21 1.5 Mathematical systems......Page 26 1.6 Associated literature......Page 35 1.7 References......Page 39 2.2 Image formation......Page 42 2.3 The Fourier transform......Page 46 2.4 The sampling criterion......Page 51 2.5 The discrete Fourier transform ( DFT)......Page 56 2.6 Other properties of the Fourier transform......Page 64 2.7 Transforms other than Fourier......Page 68 2.8 Applications using frequency domain properties......Page 74 2.10 References......Page 76 3.2 Histograms......Page 78 3.3 Point operators......Page 80 3.4 Group operations......Page 90 3.5 Other statistical operators......Page 99 3.6 Further reading......Page 106 3.7 References......Page 107 4.2 First-order edge detection operators......Page 110 4.3 Second- order edge detection operators......Page 131 4.4 Other edge detection operators......Page 138 4.5 Comparison of edge detection operators......Page 140 4.6 Detecting image curvature......Page 141 4.7 Describing image motion......Page 156 4.8 Further reading......Page 167 4.9 References......Page 168 5.1 Overview......Page 172 5.2 Thresholding and subtraction......Page 173 5.3 Template matching......Page 175 5.4 Hough transform (HT)......Page 184 5.5 Generalised Hough transform (GHT)......Page 210 5.6 Other extensions to the HT......Page 224 5.8 References......Page 225 6.1 Overview......Page 228 6.2 Deformable templates......Page 229 6.3 Active contours (snakes)......Page 231 6.4 Discrete symmetry operator......Page 247 6.5 Flexible shape models......Page 251 6.7 References......Page 254 7.1 Overview......Page 258 7.2 Boundary descriptions......Page 259 7.3 Region descriptors......Page 289 7.5 References......Page 299 8.1 Overview......Page 302 8.2 What is texture?......Page 303 8.3 Texture description......Page 305 8.4 Classification......Page 312 8.5 Segmentation......Page 317 8.6 Further reading......Page 318 8.7 References......Page 319 9.1 Appendix 1: Homogeneous co-ordinate system......Page 322 9.2 Appendix 2: Least squares analysis......Page 325 9.3 Appendix 3: Example Mathcad worksheet for Chapter 3......Page 328 9.4 Appendix 4: Abbreviated Matlab worksheet......Page 347 Index......Page 355 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