Cover ; Contents; Preface; Chapter 1. Introduction; 1.1 Overview; 1.2 Human and computer vision; 1.3 The human vision system; 1.4 Computer vision systems; 1.5 Mathematical systems; 1.6 Associated literature; 1.7 References; Chapter 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 (DFT); 2.6 Other properties of the Fourier transform; 2.7 Transforms other than Fourier; 2.8 Applications using frequency domain properties; 2.9 Further reading; 2.10 References. Chapter 3. Basic image processing operations3.1 Overview; 3.2 Histograms; 3.3 Point operators; 3.4 Group operations; 3.5 Other statistical operators; 3.6 Further reading; 3.7 References; Chapter 4. Low-level feature extraction (including edge detection); 4.1 Overview; 4.2 First-order edge detection operators; 4.3 Second-order edge detection operators; 4.4 Other edge detection operators; 4.5 Comparison of edge detection operators; 4.6 Detecting image curvature; 4.7 Describing image motion; 4.8 Further reading; 4.9 References; Chapter 5. Feature extraction by shape matching; 5.1 Overview. 5.2 Thresholding and subtraction5.3 Template matching; 5.4 Hough transform (HT); 5.5 Generalised Hough transform (GHT); 5.6 Other extensions to the HT; 5.7 Further reading; 5.8 References; Chapter 6. Flexible shape extraction (snakes and other techniques); 6.1 Overview; 6.2 Deformable templates; 6.3 Active contours (snakes); 6.4 Discrete symmetry operator; 6.5 Flexible shape models; 6.6 Further reading; 6.7 References; Chapter 7. Object description; 7.1 Overview; 7.2 Boundary descriptions; 7.3 Region descriptors; 7.4 Further reading; 7.5 References. Chapter 8. Introduction to texture description, segmentation and classification8.1 Overview; 8.2 What is texture; 8.3 Texture description; 8.4 Classification; 8.5 Segmentation; 8.6 Further reading; 8.7 References; Chapter 9. Appendices; 9.1 Appendix 1: Homogeneous co-ordinate system; 9.2 Appendix 2: Least squares analysis; 9.3 Appendix 3: Example Mathcad worksheet for Chapter 3; 9.4 Appendix 4: Abbreviated Matlab worksheet; Index.
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Image processing.
موضوع مستند نشده
Optical data processing.
رده بندی کنگره
شماره رده
TA1637
نشانه اثر
.
M375
2014
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )