Image Analysis in Earth Sciences

Professor Renee Heilbronner has many years of experience in the field of image analysis and has developed several software packages, including a method for texture determination using light optical methods and general orientation imaging. She was involved in the development of an internationally renowned free-ware image analysis program (Image SXM, former NIH Image), and is a member of a growing group of international texture analysis experts who are setting up workshops and building a network for texture research involving mathematicians, material scientists, and geologists. As an experienced teacher of image analysis at different levels ranging from general introductory courses to specialized texture workshops, she has taught at various universities all over the world.

• Part I Looking at Images.- 1 Images and Microstructures.- 2 Acquiring Images.- 3 Digital Image Processing.- 4 Pre-processing.- Part II Segmentation: Finding and Defining the Object.- 5 Segmentation by Point Operations.- 6 Post-processing.- 7 Segmentation by Neighborhood Operations.- 8 Image Analysis.- 9 Test Images.- Part III Measuring Size and Volume.- 10 Volume Determinations.- 11 2-D Grain Size Distributions.- 12 3-D Grain Size.- 13 Fractal Grain Size Distributions.- Part IV Quantifying Shape and Orientation.- 14 Particle Fabrics.- 15 Surface Fabrics.- 16 Strain Fabrics.- 17 Shape Descriptors.- Part V Spatial Relationships.- 18 Spatial Distributions.- 19 Spatial Frequencies.- 20 Autocorrelation Function.- Part VI Orientation Imaging.- 21 Crystal Orientation and Interference Color.- 22 Computer-Integrated Polarization Microscopy.- 23 Orientation and Misorientation Imaging.- Index.