Thesis (PDF) - Signal & Image Processing Lab

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106 CHAPTER 6. EXTREMA-WATERSHED TREE EXAMPLE Method used Energy (cross SE) Energy (SE 3x3) Energy (SE 5x5) Averaging filter 1799 2643 3979 Median filter 1233 1971 3162 EWT filter 1376 1737 2895 Table 6.2: Energy results comparison, with different pre-processing methods. on EWT, for all structuring elements, except for “cross”. For “cross” structuring elements, median does not catch the entire real dust and scratch, as shown in Fig- ure 6.40. So we conclude that the filter based on EWT is better for dust and scratch removal applications than the other compared filters.
6.4. APPLICATION EXAMPLES 107 (a) (b) (c) (d) Figure 6.39: Top hat, using cross SE, as a pre-processing for dust and scratch removal. (a) Original image (b) Top hat by reconstruction based on EWT (c) Top hat using median (d) Top hat using an averaging filter.
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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 70 and 71: 56CHAPTER 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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