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Segmentation techniques for high quality colour images.

by Wai Leung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 148-150). / Chapter 1. --- Introduction --- p.1 / Chapter 1.1. --- Image Selection/Segmentation --- p.3 / Chapter 1.2. --- Background Image Generation --- p.5 / Chapter 1.3. --- Thesis Organisation --- p.6 / Chapter 2. --- Fundamentals of Digital Image Segmentation --- p.7 / Chapter 2.1. --- Edge-based Segmentation methods --- p.7 / Chapter 2.1.1. --- Edge detection --- p.7 / Chapter 2.1.1.1. --- Gradient operators --- p.9 / Chapter 2.1.1.2. --- Compass operators --- p.10 / Chapter 2.1.1.3. --- Laplace operators and zero crossings --- p.10 / Chapter 2.1.1.4. --- Stochastic gradients --- p.11 / Chapter 2.1.1.5. --- Optimal edge detectors --- p.12 / Chapter 2.1.2. --- Boundary extraction --- p.13 / Chapter 2.1.2.1. --- Contour following --- p.13 / Chapter 2.1.2.2. --- Heuristic graph searching --- p.14 / Chapter 2.1.2.3. --- Dynamic programming --- p.14 / Chapter 2.2. --- Region-based Segmentation Methods --- p.15 / Chapter 2.2.1. --- Thresholding --- p.15 / Chapter 2.2.2. --- Region growing --- p.16 / Chapter 2.2.3. --- Region splitting and merging --- p.17 / Chapter 2.2.4. --- Texture segmentation --- p.19 / Chapter 2.2.4.1. --- Spectral approaches --- p.19 / Chapter 2.2.4.2. --- Statistical methods --- p.21 / Chapter 2.3. --- Works on Colour Image Segmentation --- p.23 / Chapter 3. --- Current Selection Tools for Image Retouching --- p.24 / Chapter 3.1. --- Selection by Region Growing --- p.24 / Chapter 3.2. --- Selection by Edge Finding --- p.26 / Chapter 3.3. --- Some Conclusions --- p.27 / Chapter 4. --- A New Segmentation Tool for Image Retouching --- p.28 / Chapter 4.1. --- Requirement and Development Strategy of the Selection Tool --- p.28 / Chapter 4.2. --- Basic Assumptions --- p.29 / Chapter 4.3. --- Algorithm of the Image Selector --- p.30 / Chapter 4.3.1. --- Boundary representation --- p.30 / Chapter 4.3.2. --- Colour edge detection --- p.31 / Chapter 4.3.2.1. --- Colour gradient --- p.31 / Chapter 4.3.2.2. --- Edge detector --- p.32 / Chapter 4.4. --- Boundary Searching --- p.34 / Chapter 4.4.1. --- The searching algorithm - A* --- p.35 / Chapter 4.4.2. --- The cost function and heuristic for A* algorithm --- p.37 / Chapter 4.4.2.1. --- Pixel cost formulation --- p.38 / Chapter A. --- The reference dependent function y --- p.39 / Chapter 1. --- The three similarity functions --- p.42 / Chapter 2. --- The similarity thresholds --- p.44 / Chapter 3. --- The n-reference dependent function --- p.45 / Chapter B. --- The reference independent function f --- p.46 / Chapter C. --- The actual pixel cost function W --- p.46 / Chapter 4.4.2.2. --- The heuristic function h --- p.47 / Chapter 4.5. --- Implementation --- p.48 / Chapter 4.5.1. --- Work-flow of the image selection tool --- p.48 / Chapter 4.5.2. --- Implementation of the user-input stage --- p.51 / Chapter 4.5.3. --- Implementation of the boundary searching phase --- p.54 / Chapter 4.5.3.1. --- OPEN and CLOSE lists --- p.56 / Chapter 4.5.3.2. --- Tracing back searching path --- p.57 / Chapter 4.5.3.3. --- Edge map --- p.58 / Chapter 4.5.3.4. --- Cost calculation --- p.59 / Chapter 4.5.4. --- Implementation of the boundary connection phase --- p.61 / Chapter 4.6. --- Experiments and Results --- p.63 / Chapter 4.6.1. --- Features exploration --- p.63 / Chapter 4.6.1.1. --- Cost function of the boundary tracer --- p.63 / Chapter 4.6.1.2. --- Reference sensitivity --- p.73 / Chapter 4.6.1.3. --- Boundary connection --- p.75 / Chapter 4.6.2. --- Comparison with current image selection tools --- p.76 / Chapter 4.7. --- Discussion --- p.87 / Chapter 4.8. --- Further Improvement --- p.91 / Chapter 4.8.1. --- A* algorithm --- p.91 / Chapter 4.8.2. --- Colour space --- p.92 / Chapter 4.8.3. --- Improvement in processing speed and quality --- p.93 / Chapter 5. --- Background Image Generation by Image Interpolation --- p.95 / Chapter 5.1. --- Current Filling Tools for Background Image Generation --- p.96 / Chapter 5.1.1. --- The Stamp tool --- p.96 / Chapter 5.1.2. --- The Gradient Fill tool --- p.96 / Chapter 5.2. --- Possible Approaches --- p.98 / Chapter 5.2.1. --- Surface Approximation --- p.98 / Chapter 5.2.2. --- Region Growing and Filling --- p.99 / Chapter 5.3. --- A New Image Interpolation Tool --- p.101 / Chapter 5.3.1. --- Problem analysis and requirement specifications --- p.101 / Chapter 5.3.2. --- The interpolation strategy --- p.103 / Chapter 5.3.3. --- Process overview of the image interpolation --- p.107 / Chapter 5.3.4. --- Data representation --- p.108 / Chapter 5.3.5. --- Implementation --- p.110 / Chapter 5.3.5.1. --- User-input - the first stage --- p.110 / Chapter 5.3.5.2. --- Interpolation preparation - the second stage --- p.112 / Chapter A. --- Boundary list rearrangement --- p.113 / Chapter B. --- Boundary parameterisation --- p.114 / Chapter C. --- Area marking --- p.114 / Chapter D. --- Colour pattern preparation --- p.115 / Chapter 5.3.5.3. --- Interpolation - the third stage --- p.118 / Chapter A. --- Filling curve generation --- p.119 / Chapter 1. --- Linear filling curve generation --- p.119 / Chapter 2. --- Non-linear filling curve generation --- p.120 / Chapter B. --- Colour pattern interpolation --- p.125 / Chapter 5.3.5.4. --- Post-filling - the fourth stage --- p.127 / Chapter 5.3.5.5. --- A working example --- p.128 / Chapter 5.3.6. --- Results --- p.130 / Chapter 5.3.7. --- Discussion --- p.140 / Chapter 5.3.8. --- Limitations and future improvement --- p.141 / Chapter 6. --- Conclusions --- p.144 / Appendix --- p.147 / References --- p.148

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_318087
Date January 1994
ContributorsLeung, Wai., Chinese University of Hong Kong Graduate School. Division of Computer Science.
PublisherChinese University of Hong Kong
Source SetsThe Chinese University of Hong Kong
LanguageEnglish
Detected LanguageEnglish
TypeText, bibliography
Formatprint, [6], 150 leaves : ill. (chiefly col.) ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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