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Size: 988
Comment:
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Size: 1112
Comment:
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| Deletions are marked like this. | Additions are marked like this. |
| Line 17: | Line 17: |
| Then issue of the command embedded below in the table to generate the pixel values | Then issue one of the commands embedded below in the table to generate the test image |
| Line 25: | Line 25: |
Finally, you can display the image {{{ In [5]: e.process_inplace("testimage.scurve") In [6]: display(e) }}} |
EMAN2 includes a good selection of test images. They come in many shapes and forms, from simple gradients and shapes to basic noise models. To create a testimage start by running e2.py, and creating an empty image that is appropriately, for example as follows:
#] e2.py Welcome to EMAN2 Prompt provided by IPython Enter '?' for ipython help In [3]: e = EMData() In [4]: e.set_size(256,256)
Then issue one of the commands embedded below in the table to generate the test image
attachment:xcoord.png |
attachment:ycoord.png |
e.process_inplace("testimage.gradient") |
e.process_inplace("testimage.gradient", {'axis','y'}) |
attachment:axes.png |
attachment:circle.png |
e.process_inplace("testimage.axes") |
e.process_inplace("testimage.circlesphere") |
attachment:scurve.png |
attachment:gaussnoise_large.png |
e.process_inplace("testimage.scurve") |
e.process_inplace("testimage.noise.gauss") |
Finally, you can display the image
In [5]: e.process_inplace("testimage.scurve")
In [6]: display(e)