By Omer Demirkaya,Musa H. Asyali,Prasanna K. Sahoo
Image Processing with MATLAB®: Applications in drugs and Biology explains advanced, theory-laden themes in picture processing via examples and MATLAB® algorithms. It describes classical to boot rising components in photo processing and research.
Providing many exact MATLAB codes and capabilities all through, the booklet covers the idea of likelihood and information, two-dimensional quickly Fourier rework, nonlinear diffusion filtering, and partial differential equation (PDE)-based photo denoising concepts. It offers intensity-based snapshot segmentation tools, together with thresholding strategies in addition to K-means and fuzzy C-means clustering recommendations. The authors additionally discover Markov random box (MRF)-based photo segmentation, boundary and curvature research equipment, and parametric and geometric deformable versions. 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 complex techniques through utilising algorithms to real-world difficulties in drugs and biology.
A ideas handbook is out there for instructoes wishing to transform this connection with school room use.
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Image Processing with MATLAB: Applications in Medicine and Biology (MATLAB Examples) by Omer Demirkaya,Musa H. Asyali,Prasanna K. Sahoo