Image processing with MATLAB : applications in medicine and biology / Omer Demirkaya, Musa Hakan Asyali, Prasanna K. Sahoo.

Format:

Book

Author/Creator:

Demirkaya, Omer.

Contributor:

Asyali, Musa Hakan.

Sahoo, Prasanna

Louis A. Duhring Fund.

Language:

English

Subjects (All):

Imaging systems in medicine.

MATLAB.

Diagnostic Imaging.

Image Processing, Computer-Assisted--methods.

Image Interpretation, Computer-Assisted--methods.

Software.

Medical Subjects:

Diagnostic Imaging.

Image Processing, Computer-Assisted--methods.

Image Interpretation, Computer-Assisted--methods.

Software.

Physical Description:

xv, 441 pages : illustrations ; 25 cm

Place of Publication:

Boca Raton : CRC Press, [2009]

Summary:

Image Processing with MATLAB: Applications in Medicine and Biology explains complex, theory-laden topics in image processing through examples and MATLAB algorithms. It describes classical as well as emerging areas in image processing and analysis.

Providing many unique MATLAB codes and functions throughout, the book covers the theory of probability and statistics, the two-dimensional fast Fourier transform, nonlinear diffusion filtering, and partial differential equation (PDE)-based image denoising techniques. It presents intensity-based image segmentation methods, including thresholding techniques as well as K-means and fuzzy C-means clustering techniques. The authors also explore Markov random field (MRF)-based image segmentation, boundary and curvature analysis methods, and parametric and geometric deformable models. The final chapters focus on three specific applications of image processing and analysis.

Reducing the need for the trial-and-error way of solving problems, this book helps readers understand advanced concepts by applying algorithms to real-world problems in medicine and biology.

Contents:

1 Medical Imaging Systems 1

2 Fundamental Tools for Image Processing and Analysis 49

3 Probability Theory for Stochastic Modeling of Images 115

4 Two-Dimensional Fourier Transform 167

5 Nonlinear Diffusion Filtering 189

6 Intensity-Based Image Segmentation 223

7 Image Segmentation by Markov Random Field Modeling 279

8 Deformable Models 311

9 Image Analysis 327

Application 1 Quantification of Green Fluorescent Protein eXpression in Live Cells: ProXcell 371

Application 2 Calculation of Performance Parameters of Gamma Cameras and SPECT Systems 379

Application 3 Analysis of Islet Cells Using Automated Color Image Analysis 397

Appendix B Working with DICOM Images 407

Appendix C Medical Image Processing Toolbox 421

Appendix D Description of Image Data 425.

Notes:

Includes bibliographical references and index.

Local Notes:

Acquired for the Penn Libraries with assistance from the Louis A. Duhring Fund.

ISBN:

9780849392467

0849392462

OCLC:

144565900

Publisher Number:

99936507709