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

Image Processing with MATLAB (eBook, ePUB)

Applications in Medicine and Biology

• Format: ePub

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 22. Dezember 2008
• Englisch
• ISBN-13: 9781040064740
• Artikelnr.: 72284938

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.