1st Edition

Image Processing with MATLAB Applications in Medicine and Biology

    458 Pages 211 B/W Illustrations
    by CRC Press

    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 emerging areas in image processing and analysis.

    Providing many unique MATLAB codes and functions throughout, the book covers the theory of probability and statistics, 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.

    A solutions manual is available for instructoes wishing to convert this reference to classroom use.

    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

    Application 1: Quantification of Green Fluorescent Protein eXpression in Live Cells: ProXcell
    Application 2: Calculation of Performance Parameters of Gamma Cameras and SPECT Systems
    Application 3: Analysis of Islet Cells Using Automated Color Image Analysis

    Appendix A: Notation
    Appendix B: Working with DICOM Images
    Appendix C: Medical Image Processing Toolbox
    Appendix D: Description of Image Data


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