extraction of regions from segmented image in python

Question

I have a land cover image and I segmented it. Since the images are large in size, I am uploading only a part of them. here is the original image's part :

here is the corresponding segmented image:

I used K-means clustering algorithm to achieve segmentation. Now I want to extract different regions marked with same intensity in the segmented image so as to classify it for the land cover. Is it possible to extract different regions directly from the segmented image (if possible in the form of polygons) to classify them.

Please help me with a source/link or a way on how to do it or atleast begin with it. P.s I work on Python

Answer 1

How are the segments defined? Are they labeled raster? If so you could use GDAL binaries to export each label to a separate binary raster and multiply the binary raster to the source to obtain the result wanted.

Say you want to transform label 12 , then you would do something like gdal_calc -A [LabelRasterPath] -B [SourceRasterPath] --calc="(A=12)*B" --NoDataValue=0

You can make use of a batch file to process everything.

Another option, if you want to stick with python numpy is to use masked array and define the mask as labeledArray==12 for example.

Please let me know if you need further assistance.