Tomographic Reconstruction of Label Images Using Gibbs Priors: Parameter Estimation, Methods, Algorithms - Brossura

Liao, Hstau Y

Brossura

ISBN 10: 3838313070 ISBN 13: 9783838313078

Casa editrice: LAP Lambert Academic Publishing, 2009

Riassunto

In many applications of tomography, such as electron microscopy, industrial non-destructive testing, cardiac imaging, etc, the aim is to find the components constituting the object. Traditional approaches would first reconstruct the density distribution from the projection data and then segment (label) this distribution. This book introduces a new paradigm of directly estimating the label image from the projections, by postulating a low level prior knowledge regarding the underlying distribution of label images. Because of the typically small number of labels, this problem offers significant challenges and opportunity: much fewer data is required as a result. This work provides strategies, algorithms, as well as methods for choosing suitable Gibbs prior. Anyone who may be considering reconstructing label images from limited data should find this book a useful guide.

Su questo libro

Informazioni sull'autore

Hstau Y Liao is a research scientist at Columbia University Medical Center. His research interest comprises tomography, image processing, optimization, and high-dimensional data modeling. Hstau was invited to consult for Toshiba. He won in various mathematical contests, including the IMO. Hstau is also interested in macroeconomics.

Dettagli dell'edizione

• Editore: LAP Lambert Academic Publishing
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 3838313070
• ISBN 13: 9783838313078
• Rilegatura: Copertina flessibile
• Numero di pagine: 180
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile