Thesis (PDF) - Signal & Image Processing Lab

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102 CHAPTER 6. EXTREMA-WATERSHED TREE EXAMPLE Figure 6.29: License plate image without noise. Figure 6.30: License plate image corrupted with noise. Figure 6.31: License plate image in gray scale, as used by the OCR. Figure 6.32: License plate image filtered by EWT-based opening by reconstruction.
6.4. APPLICATION EXAMPLES 103 Figure 6.33: License plate image filtered with an averaging filter. Figure 6.34: License plate image filtered with a median filter. Figure 6.35: License plate image filtered with regular opening by reconstruction. Figure 6.36: License plate image filtered with regular self dual opening by reconstruction.
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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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38 CHAPTER 3. IMPLEMENTATION OF BTV
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Chapter 4 The “trench” problem
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46CHAPTER 4. THE “TRENCH” PROBL
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Page 66 and 67: 52CHAPTER 4. THE “TRENCH” PROBL
Page 76 and 77: Chapter 5 Tree Semilattices In this
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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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