Omer Demirkaya, Musa H Asyali, Prasanna K Sahoo

Image Processing with MATLAB

Applications in Medicine and Biology

• Gebundenes Buch

Produktbeschreibung

This text explains complex, theory-laden topics in image processing through examples and MATLAB® algorithms. It provides these algorithms to help scientists and researchers quickly identify the most effective solution method for a particular problem at hand. The authors emphasize three-dimensional processing and analysis as well as statistical and stochastic modeling. They cover the new areas of nonlinear diffusion filtering and PDE-based image filtering, address relatively advanced topics, such as Markov random field-based image segmentation, and highlight applications with images from medicine and biology. They also include real-world examples and exercises in every chapter.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 458
• Erscheinungstermin: 22. Dezember 2008
• Englisch
• Abmessung: 241mm x 163mm x 40mm
• Gewicht: 808g
• ISBN-13: 9780849392467
• ISBN-10: 0849392462
• Artikelnr.: 25008977

Autorenporträt

Omer Demirkaya, Musa H. Asyali, Prasanna K. Sahoo

Inhaltsangabe

Medical Imaging Systems. Fundamental Tools for Image Processing and
Analysis. Probability Theory for Stochastic Modeling of Images.
Two-Dimensional Fourier Transform. Nonlinear Diffusion Filtering.
Intensity-Based Image Segmentation. Image Segmentation by Markov Random
Field Modeling. Deformable Models. Image Analysis. Applications.
Appendices.