Get Image Analysis in Earth Sciences: Microstructures and PDF

By Renée Heilbronner, Steve Barrett

ISBN-10: 3642103421

ISBN-13: 9783642103421

ISBN-10: 364210343X

ISBN-13: 9783642103438

Image research in Earth Sciences is a graduate point textbook for researchers and scholars attracted to the quantitative microstructure and texture research of earth fabrics. equipment of research and functions are brought utilizing conscientiously labored examples. The enter pictures are usually derived from earth fabrics, received at a variety of scales, via electronic images, gentle and electron microscopy. The publication makes a speciality of photograph acquisition, pre- and post-processing, at the extraction of items (segmentation), the research of volumes and grain measurement distributions, on form textile research (particle and floor materials) and the research of the frequency area (FFT and ACF). The final chapters are devoted to the research of crystallographic materials and orientation imaging. in the course of the publication the loose software program photograph SXM is used.

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Additional info for Image Analysis in Earth Sciences: Microstructures and Textures of Earth Materials

Sample text

The image model is not based on different constant levels of brightness, but on changes of brightness level, defining every sharp change of brightness (or gray level) as a grain boundary. , edge detection (Fig. 13c). These are the most important concepts associated with the nature of images, image analysis and segmentation techniques. Keeping these in mind we will now proceed to review methods of image acquisition. 2 Acquiring Images The quality of image analysis results depends to a great extent on the quality of the images that are used.

Are shown on top: polished surface of oolithic limestone (left) and thin section of quartzite in cross polarization with lambda plate inserted (right). Color separation is by the CIE Lab system: the (monochrome) color channels and histograms are shown below. L ¼ luminosity; (a) greenmagenta color coordinate, (b) blue-yellow color coordinate simply assigns color to each of the 256 gray values of a single channel image—much like providing 256 crayons with which to color your image. Depending on which color look-up table (LUT) is selected, color rendition may be quite accurate (Fig.

Absorption) as a function of crystallographic orientation—may be observed. Otherwise, as in the case of quartz, the nopol and parpol images are essentially the same. 2 Cross Polarization The polarizers are inserted at orthogonal orientations, 0 and 90 . This arrangement is called cross polarization (crosspol). Here, the image contrast is due to interference which in turn depends on the orientation of the optic axes of the minerals with respect to the microscope table or image plane (Fig. 7b).

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Image Analysis in Earth Sciences: Microstructures and Textures of Earth Materials by Renée Heilbronner, Steve Barrett

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