2D

EMAN2 includes a good selection of test images that can be generated in no time at all. They come in many shapes and forms, from simple gradients and shapes to basic noise models.

Using the test_image function in Python

At present there are 10 2D test images that are accessible using the test_image function, which is defined in EMAN2.py.

#] e2.py

Welcome to EMAN2
Prompt provided by IPython
Enter '?' for ipython help

In [3]: e = test_image(0,size=(256,256))

In [4]: display(e)


test_image(0): The EMAN scurve	test_image(1): Gaussian noise

test_image(2): Dark square	test_image(3): Light square

test_image(4): Scurve and random frequency line wave	test_image(5): Axes

test_image(6): Random frequency line wave	test_image(7): Scurve and directional gradient

test_image(8): Randomly rotated and translated scurve	test_image(9): Scurve and Gaussian noise

Using the processor framework

To create a test image using the processor framework start by running e2.py and by creating an empty image that is appropriately sized, 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 shown below in the table to generate the test image


`e.process_inplace("testimage.gradient")`	`e.process_inplace("testimage.gradient", {'axis','y'})`

`e.process_inplace("testimage.axes")`	`e.process_inplace("testimage.circlesphere")`

`e.process_inplace("testimage.scurve")`	`e.process_inplace("testimage.noise.gauss")`

Note that this is not all of the test images, and that you can get a complete list by typying e2help.py processors on the command prompt (or see http://blake.bcm.edu/eman2/processors.html). Finally, you can display the image

In [5]: e.process_inplace("testimage.scurve")

In [6]: display(e)

You can write the image to disk if you need to:

In [7]: e.write_image("scurve.img")

In [8]: e.write_image("scurve.mrc")

Also, a great many of the test images work on 3D (and 1D) images, so feel free to play around.

3D

To come

-  ⇤ ← Revision 3 as of 2008-01-11 19:57:09 → 
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+<<TableOfContents>>
= 2D =
EMAN2 includes a good selection of test images that can be generated in no time at all. They come in many shapes and forms, from simple gradients and shapes to basic noise models.

== Using the test_image function in Python ==

At present there are 10 2D test images that are accessible using the test_image function, which is defined in EMAN2.py.

{{{

#] e2.py

Welcome to EMAN2
Prompt provided by IPython
Enter '?' for ipython help

In [3]: e = test_image(0,size=(256,256))

In [4]: display(e)

}}}

||<:>{{attachment:test_0.png}} ||<:>{{attachment:test_1.png}}||
||<:>test_image(0): The EMAN scurve ||<:> test_image(1): Gaussian noise ||
||<:>{{attachment:test_2.png}} ||<:>{{attachment:test_3.png}}||
||<:> test_image(2): Dark square ||<:>test_image(3): Light square ||
||<:>{{attachment:test_4.png}} ||<:>{{attachment:test_5.png}}||
||<:>test_image(4): Scurve and random frequency line wave ||<:>test_image(5): Axes ||
||<:>{{attachment:test_6.png}} ||<:>{{attachment:test_7.png}}||
||<:>test_image(6): Random frequency line wave ||<:>test_image(7): Scurve and directional gradient ||
||<:>{{attachment:test_8.png}} ||<:>{{attachment:test_9.png}}||
||<:>test_image(8): Randomly rotated and translated scurve ||<:>test_image(9): Scurve and Gaussian noise ||
== Using the processor framework ==

To create a test image using the processor framework start by running e2.py and by creating an empty image that is appropriately sized, 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 shown 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") }}}||

Note that this is not all of the test images, and that you can get a complete list by typying ''e2help.py processors'' on the command prompt (or see http://blake.bcm.edu/eman2/processors.html). Finally, you can display the image

{{{
In [5]: e.process_inplace("testimage.scurve")

In [6]: display(e)

}}}

You can write the image to disk if you need to:

{{{
In [7]: e.write_image("scurve.img")

In [8]: e.write_image("scurve.mrc")

}}}

Also, a great many of the test images work on 3D (and 1D) images, so feel free to play around.

= 3D =

To come