Extracting/Isolating Segmented Objects in scikit-image

[Sumesh K.C.]

Hello Everyone,

I've just started working with scikit-image python package for image processing and segmentation. Its cool to learn.

I'm getting problem in extracting or simply isolating the segmented objects after running segmentation like quickshift, watershed, slic.

How can i do this?

Need your help!

Thank you, in advance!

[Stéfan van der Walt]

Hi Sumesh

On Sun, Mar 8, 2015 at 8:17 AM, Sumesh K.C. <rockin...@gmail.com> wrote:
> I'm getting problem in extracting or simply isolating the segmented objects after running segmentation like quickshift, watershed, slic.

Please have a look at the tutorial at

https://github.com/scikit-image/skimage-tutorials

Regards
Stéfan

[Emmanuelle Gouillart]

Hi Sumesh,

also see
http://scikit-image.org/docs/dev/auto_examples/plot_label.html#example-plot-label-py
with the use of "label".

Cheers,
Emma

[Sumesh K.C.]

Thank you, Stéfan and Emma!

 

 It really helped me to extract the objects after segmentation! (skimage.measure and other subpackages)

I'm trying to perform indirect georeferencing of image where the object of interest will be the markers which represent GCP (Ground Control Point). These markers will be segmented and then the centroid of the segmented markers will correspond to the position of GCP in image.

Right now, I'm using SLIC algorithm (Simple Linear Iterative Clustering) (skimage.segmentation.slic).

According to your opinion, which segmentation algorithm would give better result. (even though the segmentation algorithm to be used depends upon the type/quality of the image)

Again, thank you very much!

waiting for your response!