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Pattern Recognition and Signal Processing in Archaeometry

Book Description

Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art research in computational pattern recognition and digital archaeometry. Computer science researchers in pattern recognition and machine intelligence will find innovative research methodologies combined to create novel and efficient computational systems, offering robust, exact, and reliable performance and results. Archaeologists, conservators, and historians will discover reliable automated methods for quickly reconstructing archaeological materials and benefit from the application of non-destructive, automated processing of archaeological finds.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Preface
  5. Chapter 1: Applications of Computational and Model-Based Statistical Methodologies in Archaeology
    1. Abstract
    2. 1. INTRODUCTION
    3. 3. APPLICATION
    4. 4. CONCLUSION
    5. Appendix: Variables used in the Study
  6. Chapter 2: Writer Identification in Old Handwritten Music Scores
    1. Abstract
    2. INTRODUCTION
    3. BACKGROUND
    4. PREPROCESSING
    5. RESULTS
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
  7. Chapter 3: A Digital Investigation Manifesting use of Geometric Stencils for the Drawing of Akrotiri Thera Prehistoric Wall Paintings
    1. Abstract
    2. INTRODUCTION
    3. THE MAIN SCOPE OF THE RESEARCH PRESENTED IN THIS CHAPTER: A BRIEF SUMMARY OF THE INTRODUCED METHODOLOGY
    4. THE CONSIDERED WALL PAINTINGS OF AKROTIRI THERA
    5. A FIRST STAGE DIGITAL PROCESSING OF THE WALL PAINTINGS IMAGES
    6. A NUMBER OF FUNDAMENTAL DEFINITIONS AND NOTIONS
    7. AN INITIAL ESTIMATION OF THE PROBABLE POINTS OF CHANGE OF STENCILS
    8. SELECTION OF POTENTIAL STENCILS CLASSES
    9. THE NECESSITY TO DEVELOP NEW METHODS FOR THE DETERMINATION OF THE PROBABLY EMPLOYED GEOMETRIC STENCILS
    10. A FIRST APPROACH TO SUPPORT THE FUNDAMENTAL HYPOTHESIS: INITIAL ESTIMATION OFTHESTENCILS PARAMETERS
    11. DETERMINATION OF THE EXACT VALUES OF THE PARAMETERS OF THE GEOMETRIC STENCILS AND OF THE CORRESPONDING OBJECT PARTS
    12. CONCLUSION
  8. Chapter 4: Machine Vision Schemes towards Detecting and Estimating The State Of Corrosion
    1. ABSTRACT
    2. INTRODUCTION
    3. Related Work
    4. PROBLEM SPECIFICATION
    5. OVERVIEW OF THE DEVELOPED SYSTEM
    6. Performance Evaluation
    7. RESULTS
    8. CONCLUSION
  9. Chapter 5: Functional Form, Elasticity and Lexical Richness
    1. ABSTRACT
    2. INTRODUCTION
    3. 1. REVIEW OF INDEXES OF LEXICAL RICHNESS
    4. 2. THE DERIVATION OF THE INDEXES
    5. 3. EMPIRICAL RESULTS
    6. 4. CONCLUSION
  10. Chapter 6: Automatic Classification of Decorative Patterns in the Minoan Pottery of Kamares Style
    1. Abstract
    2. INTRODUCTION
    3. KAMARES SHAPE ANALYSIS: SYSTEM OVERVIEW
    4. EXPERIMENTAL RESULTS
    5. CONCLUSION AND FUTURE WORK
  11. Chapter 7: Automatic Identification of the Writer of Ancient Greek Inscriptions, Employing Methods of Computer Engineering and Mathematics
    1. Abstract
    2. 1. INTRODUCTION: THE PROBLEM OF DATING THE CONTENT OF ANCIENT INSCRIPTIONS: A NOVEL APPROACH
    3. 2. THE FIRST APPROACH OF INSCRIPTIONS WRITERS’ IDENTIFICATION: THE “PLATONIC” REPRESENTATIVE
    4. 3. THE SECOND APPROACH: EXPLOITATION OF THE LETTERS’ GEOMETRIC CHARACTERISTICS
    5. 4. CONCLUSION
  12. Chapter 8: An Overview of Methods for Automatic Reassembly of Fragmented Objects
    1. Abstract
    2. 1. INTRODUCTION
    3. 2. FRAGMENTED OBJECTS RECONTRUCTION METHODS DESCRIPTION
    4. 3. CONCLUSION
  13. Compilation of References
  14. About the Contributors
  15. Index