By Omer Demirkaya,Musa H. Asyali,Prasanna K. Sahoo
Image Processing with MATLAB®: Applications in drugs and Biology explains complicated, theory-laden subject matters in snapshot processing via examples and MATLAB® algorithms. It describes classical besides rising components in snapshot processing and research.
Providing many exact MATLAB codes and capabilities all through, the e-book covers the idea of likelihood and information, two-dimensional quickly Fourier remodel, nonlinear diffusion filtering, and partial differential equation (PDE)-based photo denoising ideas. It offers intensity-based photo segmentation tools, together with thresholding strategies in addition to K-means and fuzzy C-means clustering options. The authors additionally discover Markov random box (MRF)-based photo segmentation, boundary and curvature research equipment, and parametric and geometric deformable types. the ultimate chapters concentrate on 3 particular functions of photo processing and analysis.
Reducing the necessity for the trial-and-error manner of fixing difficulties, this ebook is helping readers comprehend complicated options by means of using algorithms to real-world difficulties in drugs and biology.
A strategies guide is obtainable for instructoes wishing to transform this connection with lecture room use.
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Extra resources for Image Processing with MATLAB: Applications in Medicine and Biology (MATLAB Examples)
Image Processing with MATLAB: Applications in Medicine and Biology (MATLAB Examples) by Omer Demirkaya,Musa H. Asyali,Prasanna K. Sahoo