Thesis (PDF) - Signal & Image Processing Lab

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110 CHAPTER 6. EXTREMA-WATERSHED TREE EXAMPLE (a) (b) (c) (d) Figure 6.42: Zoom in. Top hat, using SE 5x5, 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.
6.5. EWT CONCLUSIONS 111 6.5 EWT conclusions A new tree representation is proposed and studied. In addition, a number of applications are proposed and examined. Those applications include pre-processing for OCR, noise filtering, and initial step for dust and scratch removal. It is shown that EWT-based filtering gives better results for those applications, as compared to other filtering techniques. The EWT-based filtering produces results similar to the classical morphological filtering, but achieves a better results when the self-duality is required.
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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 74 and 75: 60CHAPTER 4. THE “TRENCH” PROBL
Page 76 and 77: Chapter 5 Tree Semilattices In this
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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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