Image Analysis and Tomography
| Autor: | M. Berman, H. M. Hudson, Chris A. Glasbey |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Tomographic reconstruction
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-space segmentation Top-hat transform Image processing Pattern recognition Image segmentation Mathematical morphology Digital image Image texture Pattern recognition (psychology) Segmentation Computer vision Tomography Artificial intelligence Deconvolution Image analysis Image warping business Feature detection (computer vision) |
| Zdroj: | Encyclopedia of Biostatistics |
| DOI: | 10.1002/0470011815.b2a07029 |
| Popis: | Image analysis is the use of computers to extract quantitative information from images, such as those that arise from microscopes, medical scanners, electrophoresis gels, and illuminated objects. We give examples of such images, an overview of the different types of digital image, and the eclectic collection of methodologies that have been proposed to analyse them. We then consider the tomographic reconstruction of images from projections, and the three major components of image analysis: enhancement, segmentation, and taking measurements. We illustrate the methods using the examples. Keywords: Bayesian image analysis; deconvolution; image warping; mathematical morphology; pattern recognition; segmentation; signal processing stereology |
| Databáze: | OpenAIRE |
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