By Omer Demirkaya,Musa H. Asyali,Prasanna K. Sahoo
Image Processing with MATLAB®: Applications in drugs and Biology explains complicated, theory-laden issues in photo processing via examples and MATLAB® algorithms. It describes classical in addition rising parts in photograph processing and research.
Providing many particular MATLAB codes and capabilities all through, the publication covers the idea of chance and data, two-dimensional quick Fourier remodel, nonlinear diffusion filtering, and partial differential equation (PDE)-based snapshot denoising recommendations. It provides intensity-based snapshot segmentation tools, together with thresholding suggestions in addition to K-means and fuzzy C-means clustering innovations. The authors additionally discover Markov random box (MRF)-based photograph segmentation, boundary and curvature research tools, 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 approach of fixing difficulties, this booklet is helping readers comprehend complicated thoughts through utilizing algorithms to real-world difficulties in drugs and biology.
A suggestions guide is offered for instructoes wishing to transform this connection with lecture room use.
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Extra info 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