Published July, 2014
By Marek R. Ogiela and Tomasz Hachaj
Publisher: Springer (Springer International Publishing AG)
Series: Advances in Computer Vision and Pattern Recognition
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This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis.

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Published April, 2014
By Klaus D. Toennies
Publisher: Springer (Springer London Ltd)
Series: Advances in Computer Vision and Pattern Recognition
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Availability: Available

This book presents a comprehensive overview of medical image analysis. describes a range of common imaging techniques, reconstruction techniques and image artefacts; presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing;

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Published April, 2013
By Ananda S. Chowdhury and Suchendra M. Bhandarkar
Publisher: Springer (Springer London Ltd)
Series: Advances in Computer Vision and Pattern Recognition
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investigates the concepts of maximum-weight graph matching, maximum-cardinality minimum-weight matching for a bipartite graph, determination of minimum cut in a flow network, and construction of automorphs of a cycle graph;

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Published September, 2012
By S. Kamaledin Setarehdan and Sameer Singh
Publisher: Springer (Springer London Ltd)
Series: Advances in Computer Vision and Pattern Recognition
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Availability: Available

Medical imaging is an important topic and plays a key role in robust diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound.

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Published March, 2012
By Springer and Gabor T. Herman
Publisher: Springer (Springer London Ltd)
Series: Advances in Computer Vision and Pattern Recognition
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This revised and updated second edition - now with two new chapters - is the only book to give a comprehensive overview of computer algorithms for image reconstruction.

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Published February, 2012
By Klaus D. Toennies
Publisher: Springer (Springer London Ltd)
Series: Advances in Computer Vision and Pattern Recognition
Rating:
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Practical in approach, this book describes a range of common imaging techniques, reconstruction techniques and image artifacts, reviews image enhancement methods, discusses image transfer and archiving, and includes exercises and a glossary of abbreviations.

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Published March, 2011
By Ananda S. Chowdhury and Suchendra M. Bhandarkar
Publisher: Springer (Springer London Ltd)
Series: Advances in Computer Vision and Pattern Recognition
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Availability: Available

investigates the concepts of maximum-weight graph matching, maximum-cardinality minimum-weight matching for a bipartite graph, determination of minimum cut in a flow network, and construction of automorphs of a cycle graph;

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Published October, 2010
By Bir Bhanu and Ioannis Pavlidis
Publisher: Springer (Springer London Ltd)
Series: Advances in Computer Vision and Pattern Recognition
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Availability: Available

Essential reading for academics & industrial researchers working in the area of computer vision, image processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students.

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Published September, 2009
By Gabor T. Herman
Publisher: Springer (Springer London)
Series: Advances in Computer Vision and Pattern Recognition
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Availability: Not available (reason unspecified)

This revised and updated edition presents the computational and mathematical procedures underlying data collection, image reconstruction, and image display in computerized tomography. New topics include fast calculation of a ray sum in a digitized image and the task-oriented comparison of reconstruction algorithm performance.

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