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Image Processing with MATLAB: Applications in Medicine and Biology (MATLAB Examples), by Omer Demirkaya, Musa H. Asyali, Prasanna K. Sahoo
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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.
- Sales Rank: #858315 in Books
- Brand: Brand: CRC Press
- Published on: 2008-12-22
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x 1.00" w x 6.14" l, 2.20 pounds
- Binding: Hardcover
- 458 pages
- Used Book in Good Condition
About the Author
King Faisal Specialist Hospital & Res. Ctr, Riyadh, Saudi Ar Erciyes University, Kayseri, Turkey University of Louisville, Louisville, KY, USA
Most helpful customer reviews
3 of 5 people found the following review helpful.
Easy to use
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Very clear explanation, easy step by step to use, a lot of examples... .... ..... .... ... .... .... .... ..
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