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This volume presents the subject of image processing and analysis to the point of view of the user. The standard algorithms, procedures and rules of thumb are explained in the context of successful application to biological or medical images and chapters cover image acquisition, processing, analysis and pattern recognition. This approach equips the user with the necessary background for informed use of image processing software, and the ability to write their own programs if need be. There are explanations of more advanced techniques, such as the reconstruction, mapping and warping of 3D images, and each has reference to specific applications. This is an extremely usable, practical guide for the beginning postgraduate biologist or medical researcher.
The book contains predominantly black-and-white illustrations, with some color illustrations.
List of Contributors
1. Microscope image acquisition, Stephanie L. Ellenberger and Ian T. Young
2. Biological image processing and enhancement, G. W. Horgan, C. A. Reid, and C. A. Glasbey
3. Image analysis: quantitative interpretation of chromosome images, Kenneth R. Castleman
4. Pattern recognition: classification of chromosomes, Jim Graham
5. Three-dimensional (3D) reconstruction from serial sections, Fons J. Verbeek
6. 3D analysis: registration of biomedical images, Daniel Rueckert and David J. Hawkes
7. Model-based methods in analysis of biomedical images, Tim Cootes
8. Projective stereology in biological microscopy, Andrew D. Carothers
9. Image warping and spatial data mapping, Richard A. Baldock and Bill Hill
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