10-04-2019 03:22 AM
hello, am doing my project in the title called "labview based brain tumour length and area measurement" but while am doing in image segmentation using k-means segmentation i cant get the segmented image so i need help
Solved! Go to Solution.
10-04-2019 04:19 AM
10-05-2019 08:29 AM
thanks for ur replay but am doing this project in brain tumour detection so k-means segmentation must cluster out the tumour part since it is more brighter than the other side in mr image
10-07-2019 04:30 AM
@Nardimes wrote:
thanks for ur replay but am doing this project in brain tumour detection so k-means segmentation must cluster out the tumour part since it is more brighter than the other side in mr image
I understand what you are trying to do.
You are using the k-means.vi from the MLT in segmen.vi 29 KB
it looks like you are having trouble to set it up properly -
the link I posted in my previous post contains a working example using exactly that k-means.vi including example images.
How about you post a typical example image of your application?
10-09-2019 02:23 AM
am using MR image
10-14-2019 05:27 AM
how can get segmented image i attached block diagram
10-14-2019 06:20 AM
sir please help me it doesnt display segmented image
10-14-2019 08:06 AM
@Nardimes wrote:
am using MR image
Hi Nardimes,
you force me to guess what you want to do.
It is pretty likely, that you want to segment the bright pixels - which I suppose to be a tumor (foreground) - from the rest of the image (background)
If that is the case, this is a non-trivial task to do.
This is because in both images those tumor-grey-values occur in more than one region.
You need to choose a different segmentation approach,
or introduce more steps in your image processing, e.g.
distinguish between object and no-object pixels,
define a region of interest with-in the ovject pixel-region.....
I can not help you with that