Thesis (PDF) - Signal & Image Processing Lab

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84 CHAPTER 6. EXTREMA-WATERSHED TREE EXAMPLE (a) (b) Figure 6.8: A comparison between filtering results of noisy and clean image. (a) Erosion result difference. (b) Opening result difference.
6.2. MORPHOLOGICAL OPERATIONS ON THE EXTREMA-WATERSHED TREE 85 (a) (b) Figure 6.9: A Simba image corrupted by the Salt&Pepper noise. (a) Original Image (b) Noisy Simba Image (a) (b) Figure 6.10: Filtering Noisy Simba Image using Extrema watershed tree. (a) Inverse transform of Extrema watershed tree eroded by structuring element 2 × 2 (b) Inverse transform of Extrema watershed tree opened by structuring element 2 × 2
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SELF-DUAL MORPHOLOGICAL OPERATORS B
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The Research Thesis was done under
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iv CONTENTS 3 Implementation of BTV
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List of Tables 2.1 The BTV transfor
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viii LIST OF FIGURES 2.9 An example
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x LIST OF FIGURES 4.17 A Simba imag
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xii LIST OF FIGURES 6.20 A Lena ima
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Abstract This research addresses a
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4 List of Abbreviations and Symbols
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6 CHAPTER 1. INTRODUCTION the image
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8 CHAPTER 1. INTRODUCTION disadvant
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10 CHAPTER 1. INTRODUCTION 3. A gen
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Chapter 2 Theoretical Background 2.
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14 CHAPTER 2. THEORETICAL BACKGROUN
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Page 48 and 49: 34 CHAPTER 2. THEORETICAL BACKGROUN
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Page 52 and 53: 38 CHAPTER 3. IMPLEMENTATION OF BTV
Page 58 and 59: Chapter 4 The “trench” problem
Page 60 and 61: 46CHAPTER 4. THE “TRENCH” PROBL
Page 76 and 77: Chapter 5 Tree Semilattices In this
Page 78 and 79: 64 CHAPTER 5. TREE SEMILATTICES sec
Page 80 and 81: 66 CHAPTER 5. TREE SEMILATTICES Fig
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Page 84 and 85: 70 CHAPTER 5. TREE SEMILATTICES If
Page 86 and 87: 72 CHAPTER 5. TREE SEMILATTICES sam
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Page 90 and 91: 76 CHAPTER 6. EXTREMA-WATERSHED TRE
Page 114 and 115: 100 CHAPTER 6. EXTREMA-WATERSHED TR
Page 126 and 127: Chapter 7 Conclusions and further r
Page 128 and 129: Appendix A 114
Page 130 and 131: Bibliography [1] J. Serra, Image An
Page 132: 118 BIBLIOGRAPHY [21] Renato Keshet
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Thesis (PDF) - Signal & Image Processing Lab

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