Python test images

EMAN2 includes a good selection of test images. They come in many shapes and forms, from simple gradients and shapes to basic noise models.

test_image (2D)

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

   1 #] e2.py
   2 
   3 Welcome to EMAN2
   4 Prompt provided by IPython
   5 Enter '?' for ipython help
   6 
   7 In [3]: e = test_image(0,size=(256,256))
   8 
   9 In [4]: display(e)

If you don't specify the size argument the returned image is 128x128. The following table shows each of the currently defined test_images.


`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, mirrored and translated scurve	`test_image(9)`: Scurve and Gaussian noise

test_image_3d (3D)

At present there are 6 3D test images that are accessible using the test_image_3d function, which is defined in EMAN2.py.

   1 #] e2.py
   2 
   3 Welcome to EMAN2
   4 Prompt provided by IPython
   5 Enter '?' for ipython help
   6 
   7 In [3]: e = test_image_3d(0)
   8 
   9 In [4]: display(e)

The following table shows the currently available 3D test images.


`test_image_3d(0)`: Axes	`test_image_3d(1)`: Spherical waves

`test_image_3d(2)`: Tomography test image	`test_image_3d(3)`: Solid cube

`test_image_3d(4)`: Solid sphere	`test_image_3d(5)`: Rotated ellipse with holes

Using the processor framework

2D

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:

   1 #] e2.py
   2 
   3 Welcome to EMAN2
   4 Prompt provided by IPython
   5 Enter '?' for ipython help
   6 
   7 In [3]: e = EMData()
   8 
   9 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

   1 In [5]: e.process_inplace("testimage.scurve")
   2 
   3 In [6]: display(e)

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

   1 In [7]: e.write_image("scurve.img")
   2 
   3 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.

-  ⇤ ← Revision 30 as of 2009-01-21 18:06:42 → 
  Size: 2644
  Editor: DavidWoolford
  Comment:
+   ← Revision 51 as of 2009-04-11 00:48:59 → ⇥
  Size: 3933
  Editor: DavidWoolford
  Comment:
-Deletions are marked like this.
+Additions are marked like this.
 Line 2:
-= 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.
+= Python test images  =
EMAN2 includes a good selection of test images. They come in many shapes and forms, from simple gradients and shapes to basic noise models.
 Line 5:
-== Using the test_image function in Python ==
+== test_image (2D)  ==
 Line 9:
-{{{
+{{{#!python
 Line 23:
-||{{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 line wave || test_image(5) ||
||{{attachment:test_6.png}} ||{{attachment:test_7.png}}||
|| test_image(6) || test_image(7) ||
||{{attachment:test_8.png}} ||{{attachment:test_9.png}}||
|| test_image(8) || test_image(9) ||
== Using the processor framework ==
+If you don't specify the size argument the returned image is 128x128. The following table shows each of the currently defined test_images.
-Line 35:
+Line 25:
+||<:>{{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, mirrored and translated scurve ||<:>{{{test_image(9)}}}: Scurve and Gaussian noise ||

== test_image_3d (3D) ==

At present there are 6 3D test images that are accessible using the test_image_3d function, which is defined in EMAN2.py.

{{{#!python

#] e2.py

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

In [3]: e = test_image_3d(0)

In [4]: display(e)

}}}

The following table shows the currently available 3D test images.

||<:>{{attachment:test_3d_0.png}} ||<:>{{attachment:test_3d_1.png}}||
||<:>{{{test_image_3d(0)}}}: Axes ||<:>{{{test_image_3d(1)}}}: Spherical waves ||
||<:>{{attachment:test_3d_2.png}} ||<:>{{attachment:test_3d_3.png}}||
||<:>{{{test_image_3d(2)}}}: Tomography test image ||<:>{{{test_image_3d(3)}}}: Solid cube ||
||<:>{{attachment:test_3d_4.png}} ||<:>{{attachment:test_3d_5.png}} ||
||<:>{{{test_image_3d(4)}}}: Solid sphere ||<:>{{{test_image_3d(5)}}}: Rotated ellipse with holes ||


= Using the processor framework =

== 2D ==
-Line 37:
+Line 69:
-{{{
+{{{#!python
-Line 53:
+Line 85:
-||{{attachment:xcoord.png}} ||{{attachment:ycoord.png}}||
||{{{ e.process_inplace("testimage.gradient")}}}||{{{ e.process_inplace("testimage.gradient", {'axis','y'}) }}}||
||{{attachment:axes.png}}|| {{attachment:circle.png}} ||
+||<:>{{attachment:xcoord.png}} ||<:>{{attachment:ycoord.png}}||
||{{{ e.process_inplace("testimage.gradient")}}}||{{{ e.process_inplace("testimage.gradient", {'axis':'y'}) }}}||
||<:>{{attachment:axes.png}}||<:>{{attachment:circle.png}} ||
-Line 57:
+Line 89:
-||{{attachment:scurve.png}}|| {{attachment:gaussnoise_large.png}}||
+||<:>{{attachment:scurve.png}}||<:>{{attachment:gaussnoise_large.png}}||
-Line 62:
+Line 94:
-{{{
+{{{#!python
-Line 71:
+Line 103:
-{{{
+{{{#!python
-Line 79:
+Line 111:
-= 3D =

To come