Evgeniya Khakhalova
2015-06-02 18:38:35 UTC
Hi everyone,
I'm a new Gwyddion user and I'm trying to figure out if it is possible to
do the following:
1. I've got an MFM image of the magnetic grain and my purpose is to
calculate surface area of "light" and "dark" magnetic regions within this
magnetic grain.
"Light" domain area is where Z-component is greater than background noise,
and "dark" - where Z-component is smaller than background noise.
Is there any ways that I can calculate average background noise (areas
outside the grain) and then use it as a threshold value to mask dark/light
regions inside the grain and then calculate the surface areas of those
regions only inside the grain?
2. If it is actually possible to use crop function for some arbitrary
shapes like on the example?
3. Can I use for example respective topography image to crop the magnetic
image along its grain boundaries more precisely?
The left image on the example is Nap Phase Retrace image of the grain, the
right one is the height retrace:
[image: Inline image 1][image: Inline image 1]
Thank you.
Best regards,
Evgeniya Khakhalova.
I'm a new Gwyddion user and I'm trying to figure out if it is possible to
do the following:
1. I've got an MFM image of the magnetic grain and my purpose is to
calculate surface area of "light" and "dark" magnetic regions within this
magnetic grain.
"Light" domain area is where Z-component is greater than background noise,
and "dark" - where Z-component is smaller than background noise.
Is there any ways that I can calculate average background noise (areas
outside the grain) and then use it as a threshold value to mask dark/light
regions inside the grain and then calculate the surface areas of those
regions only inside the grain?
2. If it is actually possible to use crop function for some arbitrary
shapes like on the example?
3. Can I use for example respective topography image to crop the magnetic
image along its grain boundaries more precisely?
The left image on the example is Nap Phase Retrace image of the grain, the
right one is the height retrace:
[image: Inline image 1][image: Inline image 1]
Thank you.
Best regards,
Evgeniya Khakhalova.