{
"item_title" : "Image Processing with MATLAB",
"item_author" : [" Omer Demirkaya", "Musa H. Asyali", "Prasanna K. Sahoo "],
"item_description" : "This text explains complex, theory-laden topics in image processing through examples and MATLAB(R) 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.",
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Image Processing with MATLAB : Applications in Medicine and Biology
Overview
This text explains complex, theory-laden topics in image processing through examples and MATLAB(R) 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.
This item is Non-Returnable
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Details
- ISBN-13: 9780849392467
- ISBN-10: 0849392462
- Publisher: CRC Press
- Publish Date: December 2008
- Dimensions: 9.1 x 6.1 x 1 inches
- Shipping Weight: 2.2 pounds
- Page Count: 458
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