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Image Processing with MATLAB: Applications in Medicine and Biology explains complex, theoryladen 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, twodimensional fast Fourier transform, nonlinear diffusion filtering, and partial differential equation (PDE)based image denoising techniques. It presents intensitybased image segmentation methods, including thresholding techniques as well as Kmeans and fuzzy Cmeans 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 trialanderror way of solving problems, this book helps readers understand advanced concepts by applying algorithms to realworld problems in medicine and biology.A solutions manual is available for instructoes wishing to convert this reference to classroom use.
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