2-D and 3-D Image Registration

To master the fundamentals of image registration, there is no more comprehensive source than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of image registration, the author presents their underlying algorithms. You'll also discover cutting-edge techniques to use in remote sensing, industrial, and medical applications. Examples of image registration are presented throughout, and the companion Web site contains all the images used in the book and provides links to software and algorithms discussed in the text, allowing you to reproduce the results in the text and develop images for your own research needs. 2-D and 3-D Image Registration serves as an excellent textbook for classes in image registration as well as an invaluable working resource.

To master the fundamentals of image registration, there is no more comprehensive source than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of image registration, the author presents their underlying algorithms. You'll also discover cutting-edge techniques to use in remote sensing, industrial, and medical applications. Examples of image registration are presented throughout, and the companion Web site contains all the images used in the book and provides links to software and algorithms discussed in the text, allowing you to reproduce the results in the text and develop images for your own research needs. 2-D and 3-D Image Registration serves as an excellent textbook for classes in image registration as well as an invaluable working resource.

Preface xiAcknowledgments xiiiAcronyms xv1 Introduction 11.1 Terminologies 31.2 Steps in Image Registration 41.3 Summary of the Chapters to Follow 51.4 Bibliographical Remarks 52 Preprocessing 72.1 Image Enhancement 72.1.1 Image smoothing 72.1.2 Deblurring 112.2 Image Segmentation 152.2.1 Intensity thresholding 152.2.2 Boundary detection 172.3 Summary 392.4 Bibliographical Remarks 403 Feature Selection 433.1 Points 433.2 Lines 513.2.1 Line detection using the Hough transform 523.2.2 Least-squares line fitting 533.2.3 Line detection using image gradients 563.3 Regions 583.4 Templates 593.5 Summary 603.6 Bibliographical Remarks 604 Feature Correspondence 634.1 Point Pattern Matching 634.1.1 Matching using scene coherence 644.1.2 Matching using clustering 674.1.3 Matching using invariance 704.2 Line Matching 744.3 Region Matching 774.3.1 Shape matching 784.3.2 Region matching by relaxation labeling 824.4 Chamfer Matching 864.4.1 Distance transform 874.5 Template Matching 924.5.1 Similarity measures 924.5.2 Gaussian-weighted templates 994.5.3 Template size 1004.5.4 Coarse-to-fine methods 1014.6 Summary 1034.7 Bibliographical Remarks 1035 Transformation Functions 1075.1 Similarity Transformation 1125.2 Projective and Affine Transformations 1155.3 Thin-Plate Spline 1165.4 Multiquadric 1205.5 Weighted Mean Methods 1235.6 Piecewise Linear 1295.7 Weighted Linear 1315.8 Computational Complexity 1345.9 Properties of the Transformation Functions 1365.10 Summary 1395.11 Bibliographical Remarks 1406 Resampling 1436.1 Nearest Neighbor 1446.2 Bilinear Interpolation 1456.3 Cubic Convolution 1476.4 Cubic Spline 1496.5 Radially Symmetric Kernels 1506.6 Summary 1536.7 Bibliographical Remarks 1547 Performance Evaluation 1557.1 Feature Selection Performance 1567.2 Feature Correspondence Performance 1607.3 Transformation Function Performance 1617.4 Registration Performance 1637.5 Summary 1647.6 Bibliographical Remarks 1648 Image Fusion 1678.1 Fusing Multi-Exposure Images 1688.1.1 Image blending 1688.1.2 Examples 1728.2 Fusing Multi-Focus Images 1758.3 Summary 1778.4 Bibliographical Remarks 1779 Image Mosaicking 1819.1 Problem Description 1829.2 Determining the Global Transformation 1829.3 Blending Image Intensities 1859.4 Examples 1869.5 Mosaicking Range Images 1899.6 Evaluation 1929.7 Summary 1939.8 Bibliographical Remarks 19410 Stereo Depth Perception 19710.1 Stereo Camera Geometry 19810.2 Camera Calibration 20210.3 Image Rectification 20410.4 The Correspondence Process 20710.4.1 Constraints in stereo 20710.4.2 Correspondence algorithms 21010.5 Interpolation 21710.6 Summary 21910.7 Bibliographical Remarks 220Glossary 223References 229Index 255