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Image Analysis, Sediments and Paleoenvironments

ISBN-10: 1402020619

ISBN-13: 9781402020612

Edition: 2004

Authors: Pierre Francus

List price: $159.00
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Description:

This seventh volume of the DPER series examines imaging techniques for sedimentologists, paleolimnologists, paleoceanographers and microscopists working on issues related to paleoenvironmental reconstruction. It will help the researcher or graduate student to understand every step involved in the imaging process, from image acquisition to measurements.  Procedures are described to ensure that the right protocols and methodology are selected to solve a particular issue, and to evaluate the validity of scientific results. Case studies illustrate the wide range of information that can be obtained from many kinds of sediments (marine, lacustrine and aeolian) and different types of samples (cores, embedded blocks, microscopic slides) using different regions of the electromagnetic spectrum (visible, UV, IR, X-ray). The volume provides comprehensive protocols, guidelines, and recommendations for the use of low cost image analysis techniques, to facilitate intercomparisons of measurements.
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Book details

List price: $159.00
Copyright year: 2004
Publisher: Springer
Publication date: 1/19/2007
Binding: Hardcover
Pages: 330
Size: 6.50" wide x 9.50" long x 0.80" tall
Weight: 1.628
Language: English

An Introduction To Image Analysis, Sediments And Paleoenvironments
Image Acquisition
Image Calibration, Filtering And Processing
Image Measurements
Testing For Sources Of Errors In Quantitative Image Analysis
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 Sections
Automated Particle Analysis: Calcareous Microfossils
Software Aspects Of Automated Recognition Of Particles: The Example Of Pollen
Multiresolution Analysis Of Shell Growth Increments To Detect Natural Cycles