Image Analysis in Earth Sciences is a graduate level textbook for researchers and students interested in the quantitative microstructure and texture analysis of earth materials. Methods of analysis and applications are introduced using carefully worked examples. The input images are typically derived from earth materials, acquired at a wide range of scales, through digital photography, light and electron microscopy. The book focuses on image acquisition, pre- and post-processing, on the extraction of objects (segmentation), the analysis of volumes and grain size distributions, on shape fabric analysis (particle and surface fabrics) and the analysis of the frequency domain (FFT and ACF). The last chapters are dedicated to the analysis of crystallographic fabrics and orientation imaging. Throughout the book the free software Image SXM is used.
1 - Images Image acquisition - Data check - Pre-processing - Look-up Tables. 2 - Segmentation by point operations Bitmap - Structural filtering - Volume determination - Error of volume analysis (Basic stereology) 3 - Grain size distributions From distribution of spheres to circles - From 2-D to 3-D - Grain size mapping 4 - Fractal grain size distributions Magnification cascades - Grain size distribution mapping 5 - Analysis of particle cross sections Primary descriptors - Shape factors - Best fit ellipse - Analysis of ellipses 6 - Raster to vector Points on a grid - Digitization - Orientation artefacts - Reconstruction of outlines 7 - Particle fabrics Particle projections - Orientation distributions - Bulk fabric - Strain analysis 8 - Surface fabric Surface projections - Strain test / interpretation - Rose diagrams - Surface orientation distributions 9 - Shape of individual particles New shape descriptors: Convexity / Concavity - Angularity 10 - Spatial distribution Random - clustered - anticlustered - Volume and Surface model - Significance test 11 - Segmentation by neighbourhood operations Smoothing filters - Gradient filters - Exporting contours 12 - Frequency analysis Spatial frequencies - Fast Fourier Transforms - Frequency filtering 13 - Autocorrelation analysis 2-D Autocorrelation function - Shape and size -Local and bulk fabric 14 - Test images Generating outlines - Library of images - 2-D test images - 3-D Voronoi tesselations 15 - Orientation Imaging Optical orientation imaging - Orientation images - Converting EBSD input data - Pole figures 16 - Misorientation Images Misorientation images - Misorientation profiles - Orientation tracking 17 Orientation gradients Orientation gradient images - Defect structures - Histograms.
Series: Lecture Notes in Earth System Sciences
Number Of Pages: 540
Available: 28th June 2013
Dimensions (cm): 23.5 x 15.5