| Description |
1 online resource (320 pages) |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Advances in Imaging and Electron Physics ; v. Volume 195 |
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Advances in imaging and electron physics.
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| Note |
Print version record. |
| Contents |
Front Cover; Logarithmic Image Processing: Theory and Applications; Copyright; Contents; Preface; Future Contributions; Acknowledgments; Foreword: Short History of the LIP Model; 1. Justification of the Model; 2. Origin of the Model; 2.1. Spirit and Goals of the Book; Main Notations; Chapter One: Gray-Level LIP Model. Notations, Recalls, and First Applications; 1. Basic Notations; 2. Definition of Logarithmic Laws on the Space of Images; 2.1. Definition of the Logarithmic Addition Law; 2.1.1. Fundamental Remarks; 2.2. Definition of the Logarithmic Scalar Multiplication. |
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2.3. Physical Interpretation of These Logarithmic Laws2.3.1. Addition Law; 2.3.2. Multiplication Law; 2.4. Consistency of the LIP Model with Human Vision; 3. First Consequences of the Vector Space Structure; 3.1. Logarithmic Interpolation; 3.1.1. First Application: Three-Dimensional Reconstruction of T4-Lymphocytes from Serial Cuts (See, for Example, Bron et ... ; 3.1.2. Second Application: Dental Surgery; 3.2. Other ``Historical Applications; 4. About a Good Use of the LIP Model; 4.1. Interest of the Isomorphism Between [0, M[and R+; 4.2. Is It Possible to Define a Logarithmic Gray Scale? |
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4.3. Is LIP Interest Limited to the Use of a Logarithmic Look-Up-Table?5. Transition to Next Chapters; Acknowledgment; References; Chapter Two: Various Contrast Concepts; 1. Logarithmic Additive Contrast; 1.1. Definition; 1.2. First Properties of the LAC; 1.3. Physical Meaning of the LAC; 1.4. Explicit Link Between Michelson Contrast and the Logarithmic Additive One; 1.5. Other Contrast Concepts in Link with the LAC; 1.6. Applications of the LAC; 1.6.1. Automated Thresholding and Multithresholding; 1.6.1.1. Notations and Recalls on Köhler Method. |
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1.6.1.2. New Method: LIP-Köhler Automated Thresholding1.6.1.3. Extension of Köhler Method to Multithresholding; 1.6.2. Contour Detection; 1.6.3. Region Growing; 2. Logarithmic Multiplicative Contrast; 2.1. Definitions, Notations; 2.2. Applications of the LMC; 2.2.1. Application to Automated Thresholding and Multithresholding; 2.2.2. Application to Contour Detection; 2.3. Another Contrast Concept in Link with the LMC; 3. What About Color Images?; 3.1. Logarithmic Image Processing for Color Images; 3.2. Extension of the LAC to Color Images; 3.3. Link with Mac-Adam Experiment; 4. Conclusion. |
| Bibliography |
ReferencesChapter Three: Metrics Based on Logarithmic Laws; 1. Introduction; 2. Recalls on Some Existing Metrics; 2.1. Definition of a Metric; 2.2. Examples of Functional Metrics; 2.2.1. The Most Classical; 2.2.2. Examples of Other Metrics; 2.2.2.1. Intermediate Metric Between ``Global and ``Atomic; 2.2.2.2. A Bounded Metric Associating Binary and Gray-Level Approaches; 2.3. Examples of Metrics Defined on Binary Shapes; 3. Two Ways to Introduce Novel Metrics in the LIP Framework; 3.1. Extension of d1 and d in the LIP Sense; 3.2. Extension of the Intermediate Metric d1,SupR (f, g). |
| Note |
3.3. Extension to Functions of the Binary Asplünd Metric. |
| Subject |
Image processing -- Mathematical models.
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Signal processing -- Mathematical models.
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Traitement d'images -- Modèles mathématiques.
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Traitement du signal -- Modèles mathématiques.
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Image processing -- Mathematical models
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Signal processing -- Mathematical models
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| Other Form: |
Print version: Hawkes, Peter W. Logarithmic Image Processing: Theory and Applications. Saint Louis : Elsevier Science, ©2016 9780128048139 |
| ISBN |
9780128052297 |
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0128052295 |
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0128048131 |
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9780128048139 |
| Standard No. |
AU@ 000066357677 |
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AU@ 000073102806 |
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