3D image segmentation.
Wai-kin Vong. === Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. === Includes bibliographical references (leaves 87-[91]). === Chapter 1 --- Introduction --- p.1 === Chapter 1.1 --- Three Dimensional Image --- p.1 === Chapter 1.2 --- Definition of segmentation --- p.2 === Chapter 1.3 --...
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Format: | Others |
Language: | English |
Published: |
Chinese University of Hong Kong
1994
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Online Access: | http://library.cuhk.edu.hk/record=b5888218 http://repository.lib.cuhk.edu.hk/en/item/cuhk-318212 |
Summary: | Wai-kin Vong. === Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. === Includes bibliographical references (leaves 87-[91]). === Chapter 1 --- Introduction --- p.1 === Chapter 1.1 --- Three Dimensional Image --- p.1 === Chapter 1.2 --- Definition of segmentation --- p.2 === Chapter 1.3 --- 3D Image Segmentation --- p.3 === Chapter 1.4 --- Image Splitting Operation --- p.4 === Chapter 1.5 --- Region Merging Operation --- p.4 === Chapter 1.6 --- Split-and-merge Segmentation --- p.4 === Chapter 1.6.1 --- Selection of particular operators --- p.5 === Chapter 2 --- Overview of Image Segmentation Techniques --- p.6 === Chapter 2.1 --- Introduction --- p.6 === Chapter 2.2 --- Edge Based Method --- p.6 === Chapter 2.2.1 --- 3D Laplacian of Gaussian Filtering --- p.7 === Chapter 2.2.2 --- 3D Deformable Surfaces [8] --- p.11 === Chapter 2.3 --- Region Based Method --- p.14 === Chapter 2.3.1 --- 3D oct-tree split-and-merge --- p.15 === Chapter 2.3.2 --- 3D pyramid segmentation --- p.17 === Chapter 2.4 --- 2D segmentation Approaches --- p.20 === Chapter 2.4.1 --- 2D Image segmentation by shape description --- p.20 === Chapter 2.4.2 --- Morphological Watershed Transform (WT) --- p.23 === Chapter 2.5 --- Discussion --- p.34 === Chapter 3 --- Modification Of Digital Watershed Transform (DWT) --- p.36 === Chapter 3.1 --- Introduction --- p.36 === Chapter 3.2 --- Edge Detection --- p.37 === Chapter 3.2.1 --- Discrete Non-linear Edge Detectors --- p.37 === Chapter 3.2.2 --- Canny's Edge Detector --- p.40 === Chapter 3.2.3 --- Gradient of Gaussian Filter --- p.42 === Chapter 3.3 --- Digital Watershed Transform --- p.46 === Chapter 3.3.1 --- Introduction --- p.46 === Chapter 3.3.2 --- Modification of SKIZ --- p.46 === Chapter 3.3.3 --- Implementation --- p.51 === Chapter 4 --- Region Modeling --- p.55 === Chapter 4.1 --- Introduction --- p.55 === Chapter 4.2 --- Texture Definition --- p.57 === Chapter 4.3 --- Texture Modeling --- p.58 === Chapter 4.3.1 --- Markov Random Field (MRF) --- p.58 === Chapter 4.3.2 --- Simultaneous Autoregressive (SAR) Model --- p.59 === Chapter 4.3.3 --- Parameter Estimation --- p.61 === Chapter 4.3.4 --- A Simple model --- p.63 === Chapter 4.3.5 --- Combination of MRF parameters --- p.63 === Chapter 4.3.6 --- Similarity Measure --- p.66 === Chapter 4.4 --- Model Evaluation --- p.68 === Chapter 4.4.1 --- Classification of Different Materials --- p.68 === Chapter 4.4.2 --- Rotational Invariance --- p.69 === Chapter 4.5 --- Results and Observations --- p.72 === Chapter 5 --- Three-Dimensional Segmentation with Interactive Labeling --- p.73 === Chapter 5.1 --- Introduction --- p.73 === Chapter 5.2 --- Region Merging Scheme --- p.75 === Chapter 5.3 --- Interactive Labeling --- p.76 === Chapter 5.4 --- Experiment of 3D Guided Segmentation --- p.77 === Chapter 6 --- Conclusion --- p.81 === Chapter 6.1 --- Image Partitioning by Watershed Transform --- p.81 === Chapter 6.2 --- Image modeling by Markov Random Field --- p.82 === Chapter 6.3 --- 3D image segmentation --- p.82 === A --- p.84 === B --- p.86 === Bibliography --- p.87 |
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