Volume 7 Developments in Paleoenvironmental Research

Developments in Paleoenvironmental Research

A book series by Springer
Volume 7
Image Analysis, Sediments and Paleoenvironments

Pierre Francus (editor)

Hardbound, ISBN 1-4020-2061-9, 330 pages; Euro90/ USD119

Table of Contents

1. An Introduction to Image Analysis, Sediments and Paleoenvironmental Reconstruction Pierre Francus, Raymond S. Bradley and J�rgen Thurow
PART 1: GETTING STARTED WITH IMAGING TECHNIQUES (or methodological introduction)
2. Image Acquisition Scott Lamoureux and J�rg Bollmann
- Introduction
- Image acquisition and paleoenvironmental research
- Sample preparation for image acquisition
- Acquisition methods
- Summary
- Acknowledgements
- References
3. Image Calibration Filtering Processing Alexandra J. Nederbragt, Pierre Francus,J�rg Bollmann and Michael J. Soreghan
- Introduction
- Image pre-processing
- Colour information and calibration
- Image processing
- Metadata
- Summary
- Acknowledgements
- Appendix
- References
4. Image Measurements Eric Pirard
- Introduction
- Digital imaging and sampling theory
- Dealing with the available information
- Digital image analysis strategies
- Intensity and color analysis
- Blob analysis
- Structural analysis
- Summary
- Acknowledgements
- References
5. Testing Images for Errors P. Francus and E. Pirard
- Introduction
- Some useful definitions
- Preparation errors
- Integration errors (sampling)
- Analysis errors
- Future directions
- Summary
- Acknowledgements
- References
PART II: APPLICATION OF IMAGING TECHNIQUES ON MACRO- AND MICROSCOPIC SAMPLES.
6. Digital Sediment Color Analysis As a Method to Obtain High Resolution Climate Proxy Records. A. J. Nederbragt and J. W. Thurow
- Introduction
- Image data collection
- Extracting colour data
- Light correction
- RGB to L*a*b* conversion and colour calibration
- Mosaicking
- Examples and comparison with other methods
- Summary
- Acknowledgements
- References
7. Toward A Non-linear Grayscale Calibration Method For Legacy Photographic Collections. J. D. Ortiz and S. O'Connell
- Introduction
- What is grayscale analysis?
- Evaluating the nonlinear correction method
- Summary
- Acknowledgements
- Metadata
- References
8. From Depth Scale To Time Scale: Transforming Sediment Image Color Data Into High Resolution Time Series. A. Prokoph and R. T. Patterson
- Introduction
- Wavelet analysis
- Image processing
- Methodology
- Testing of the method
- Example: Marine Laminated sediments from the west coast of Vancouver Island, NE Pacific
- Summary
- Acknowledgements
- References
9. X-ray Radiographs Of Sediment Cores: A Guide To Analyzing Diamicton. Sarah M. Principato
- Introduction
- Image acquisition
- Image processing
- Image measurement
- Advantages of using image analysis
- Drawbacks to image analysis
- Example: case study of five diamicton units from North Atlantic continental margins
- Future direction
- Summary
- Acknowledgements
- Metadata
- References
10. Application of X-ray Radiography and Densitometry in Varve Analysis. Antti E. K. Ojala
- Introduction
- Methods
- Examples from Lake Nautaj�rvi clastic-organic varves
- Summary
- Acknowledgements
- References
11. Processing Backscattered Electron Digital Images of Thin Sections. Michael J. Soreghan and Pierre Francus
- Introduction
- Image acquisition
- Image processing
- Image measurement
- Case study: grain size analysis of upper Paleozoic loessites
- Discussion and recommendations for BSE image analysis
- Future direction
- Summary
- Acknowledgments
- Metadata
- References
PART III: ADVANCED TECHNIQUES
12. Automated Particle Analysis: Calcareous Microfossils J�rg Bollmann, Patrick S. Quinn, Miguel Vela, Bernhard Brabec, Siegfried Brechner, Mara Y. Cortes, Heinz Hilbrecht, Daniela N. Schmidt, Ralpf Schiebel and Hans R. Thierstein
- Introduction
- Automated image acquisition
- Automated classification
- What can be improved?
- Summary
- Acknowledgements
- Appendix: system description
- References
13. Software Aspects of Automated Recognition of Particles: The Example of Pollen. Ian France, A.W.G. Duller and G.A.T. Duller
- Introduction
- Acquisition of microscopic images
- Feature extraction
- Example: pollen classification using a neural network
- Future directions
- Summary
- References
14. Multiresolution Analysis Of Shell Growth Increments To Detect Natural Cycles Eric P. Verrecchia
- Introduction
- Spectral analysis
- Wavelet Transform
- Multiresolution analysis
- Application to growth increment detection
- Conclusion
- Summary
- Acknowledgements
- References

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