Image Analysis, Sediments and Paleoenvironments
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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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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $159.00
Copyright year: 2004
Publication date: 1/19/2007
Size: 6.50" wide x 9.50" long x 0.80" tall
|An Introduction To Image Analysis, Sediments And Paleoenvironments|
|Image Calibration, Filtering And Processing|
|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|