April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Plot the metric value during the gradient descent iterations (using the SimpleITK observers); it should look like the following curve (the metric value should increase with iterations in general since the mutual information is being maximized and the local maxima obtained need to be highlighted):
Start with an MRI-T1 image and its shifted (translated) version, as shown in the following image, and register the images using SimpleITK. Use two different similarity metrics (for example, mean-squared and mutual information metrics) and the gradient descent optimizer. You should obtain an output like the following screenshot (notice ...
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