Detecting centroid and orientation of capsules
1 visualizzazione (ultimi 30 giorni)
Mostra commenti meno recenti
I have a stack of 128 binary images like this one:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/190890/image.png)
I want to detect centroid and orientation of capsules in 3D but, as you can see, many capsules have regions connected to other objects that I want to exclude from the detection procedure. I tried to use regionprops3, but I am not sure if this is the right MATLAB function to be used in this case. I think that, if I am able to impose the detection of my shape, I could get the expected results. Do you know if there is a method suitable for this task?
0 Commenti
Risposte (1)
Anton Semechko
il 29 Mag 2018
If your capsules have parametric a representation (e.g., ellipsoid), you can use Hough transform (HG). Description of a HG variant designed specifically for detecting ellipsoids can be found here: Partitioned Hough transform for ellipsoid detection
Alternatively, if you are able to segment-out individual objects from your image, you can compute for each object a set of features invariant to rigid motion (e.g., aspect-ratio, surface area, volume, etc.). You can then use these features to discriminate between capsules and other objects present in your data.
7 Commenti
Anton Semechko
il 4 Giu 2018
To get started, I suggest you look into nonlinear filters (e.g., nonlocal means, diffusion, bilateral, median, etc.) so you can remove as much noise from the data as possible prior to segmentation.
Vedere anche
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!