Contents

  1. 2D
    1. Using the test_image function in Python
    2. Using the processor framework
  2. 3D

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.

test_0.png

test_1.png

test_image(0)

test_image(1)

test_2.png

test_3.png

test_image(2)

test_image(3)

test_4.png

test_5.png

test_image(4)

test_image(5)

test_6.png

test_7.png

test_image(6)

test_image(7)

test_8.png

test_9.png

test_image(8)

test_image(9)

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

xcoord.png

ycoord.png

 e.process_inplace("testimage.gradient")

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

axes.png

circle.png

 e.process_inplace("testimage.axes")

 e.process_inplace("testimage.circlesphere") 

scurve.png

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