Image Analysis, Sediments and Paleoenvironments

2004. 2. Printing 2007 Auflage 2005
ISBN: 978-1-4020-2061-2
Verlag: Springer

Buch, Englisch, Band 7, 330 Seiten, Format (B × H): 165 mm x 248 mm, Gewicht: 1480 g

Reihe: Developments in Paleoenvironmental Research

This is a guide to imaging techniques for sedimentologists, paleolimnologists, paleoceanographers and microscopists involved in paleoenvironmental reconstruction. Case studies illustrate the range of information obtainable from different sediments (marine, lacustrine, aeolian) and different types of samples (cores, embedded blocks, microscopic slides) using different regions of the electromagnetic spectrum (visible, UV, IR, X-ray). Includes comprehensive protocols, guidelines, and recommendations for the use of low cost image analysis techniques.

Zielgruppe

Research

Autoren/Hrsg.

Francus, Pierre

Fachgebiete

• Geowissenschaften Geologie Bodenkunde, Sedimentologie
• Geowissenschaften Geologie Geologie
• Geowissenschaften Geologie Paläoökologie

Inhaltsverzeichnis

An Introduction to Image Analysis, Sediments and Paleoenvironments.- An Introduction to Image Analysis, Sediments and Paleoenvironments.- Getting started with Imaging Techniques (or methodological introduction).- Image Acquisition.- Image Calibration, Filtering, and Processing.- Image Measurements.- Testing for Sources of Errors in Quantitative Image Analysis.- Application of Imaging Techniques on Macro- and Microscopic Samples.- Digital Sediment Colour Analysis as a Method to Obtain High Resolution Climate Proxy Records.- Toward a Non-Linear Grayscale Calibration Method for Legacy Photographic Collections.- From Depth Scale to Time Scale: Transforming Sediment Image Color Data into a High-Resolution Time Series.- X-Ray Radiographs of Sediment Cores: A Guide to Analyzing Diamicton.- Application of X-Ray Radiography and Densitometry in Varve Analysis.- Processing Backscattered Electron Digital Images of Thin Section.- Advanced Techniques.- Automated Particle Analysis: Calcareous Microfossils.- Software Aspects of Automated Recognition of Particles: The Example of Pollen.- Multiresolution Analysis of Shell Growth Increments to Detect Variations in Natural Cycles.