Fr. 236.00

Image Processing With Matlab - Applications in Medicine and Biology

English · Hardback

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Description

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Informationen zum Autor Omer Demirkaya, Musa H. Asyali, Prasanna K. Sahoo Klappentext 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. Zusammenfassung Explains complex, theory-laden topics in image processing through examples and MATLAB[registered] algorithms. This book describes classical areas in image processing and analysis. It covers the theory of probability and statistics, two-dimensional fast Fourier transform, and partial differential equation (PDE)-based image denoising techniques. Inhaltsverzeichnis 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.

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