2-D and 3-D Image Registration : For Medical, Remote Sensing, and Industrial Applications. için kapak resmi
2-D and 3-D Image Registration : For Medical, Remote Sensing, and Industrial Applications.
Başlık:
2-D and 3-D Image Registration : For Medical, Remote Sensing, and Industrial Applications.
Yazar:
Goshtasby, A. Ardeshir.
ISBN:
9780471724261
Yazar Ek Girişi:
Basım Bilgisi:
1st ed.
Fiziksel Tanımlama:
1 online resource (280 pages)
İçerik:
2-D and 3-D Image Registration -- Contents -- Preface -- Acknowledgments -- Acronyms -- 1 Introduction -- 1.1 Terminologies -- 1.2 Steps in Image Registration -- 1.3 Summary of the Chapters to Follow -- 1.4 Bibliographical Remarks -- 2 Preprocessing -- 2.1 Image Enhancement -- 2.1.1 Image smoothing -- 2.1.2 Deblurring -- 2.2 Image Segmentation -- 2.2.1 Intensity thresholding -- 2.2.2 Boundary detection -- 2.3 Summary -- 2.4 Bibliographical Remarks -- 3 Feature Selection -- 3.1 Points -- 3.2 Lines -- 3.2.1 Line detection using the Hough transform -- 3.2.2 Least-squares line fitting -- 3.2.3 Line detection using image gradients -- 3.3 Regions -- 3.4 Templates -- 3.5 Summary -- 3.6 Bibliographical Remarks -- 4 Feature Correspondence -- 4.1 Point Pattern Matching -- 4.1.1 Matching using scene coherence -- 4.1.2 Matching using clustering -- 4.1.3 Matching using invariance -- 4.2 Line Matching -- 4.3 Region Matching -- 4.3.1 Shape matching -- 4.3.2 Region matching by relaxation labeling -- 4.4 Chamfer Matching -- 4.4.1 Distance transform -- 4.5 Template Matching -- 4.5.1 Similarity measures -- 4.5.2 Gaussian-weighted templates -- 4.5.3 Template size -- 4.5.4 Coarse-to-fine methods -- 4.6 Summary -- 4.7 Bibliographical Remarks -- 5 Transformation Functions -- 5.1 Similarity Transformation -- 5.2 Projective and Affine Transformations -- 5.3 Thin-Plate Spline -- 5.4 Multiquadric -- 5.5 Weighted Mean Methods -- 5.6 Piecewise Linear -- 5.7 Weighted Linear -- 5.8 Computational Complexity -- 5.9 Properties of the Transformation Functions -- 5.10 Summary -- 5.11 Bibliographical Remarks -- 6 Resampling -- 6.1 Nearest Neighbor -- 6.2 Bilinear Interpolation -- 6.3 Cubic Convolution -- 6.4 Cubic Spline -- 6.5 Radially Symmetric Kernels -- 6.6 Summary -- 6.7 Bibliographical Remarks -- 7 Performance Evaluation -- 7.1 Feature Selection Performance.

7.2 Feature Correspondence Performance -- 7.3 Transformation Function Performance -- 7.4 Registration Performance -- 7.5 Summary -- 7.6 Bibliographical Remarks -- 8 Image Fusion -- 8.1 Fusing Multi-Exposure Images -- 8.1.1 Image blending -- 8.1.2 Examples -- 8.2 Fusing Multi-Focus Images -- 8.3 Summary -- 8.4 Bibliographical Remarks -- 9 Image Mosaicking -- 9.1 Problem Description -- 9.2 Determining the Global Transformation -- 9.3 Blending Image Intensities -- 9.4 Examples -- 9.5 Mosaicking Range Images -- 9.6 Evaluation -- 9.7 Summary -- 9.8 Bibliographical Remarks -- 10 Stereo Depth Perception -- 10.1 Stereo Camera Geometry -- 10.2 Camera Calibration -- 10.3 Image Rectification -- 10.4 The Correspondence Process -- 10.4.1 Constraints in stereo -- 10.4.2 Correspondence algorithms -- 10.5 Interpolation -- 10.6 Summary -- 10.7 Bibliographical Remarks -- Glossary -- References -- Index.
Özet:
A. ARDESHIR GOSHTASBY, PHD, is a professor in the department of computer science and engineering at Wright State University. Dr. Goshtasby has been developing solutions to image registration problems since 1983 and has numerous publications to his credit.
Notlar:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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