Open Fighting-bruceCHN opened 1 week ago
Hello @Fighting-bruceCHN,
Just crop the matching areas, for example:
a = pyvips.Image.new_from_file("file1.tif")
b = pyvips.Image.new_from_file("file2.tif")
tile1 = a.crop(10, 10, 512, 512)
tile2 = b.crop(10, 10, 512, 512)
tile1.write_to_file("tile1.jpg")
tile2.write_to_file("tile2.jpg")
If you write your tiff image in tiled format this will be much faster.
Ah do you want users to be able to scroll around the images and compare the alignment?
I would save both images as deepzoom, perhaps with:
a = pyvips.Image.new_from_file("file1.tif")
b = pyvips.Image.new_from_file("file2.tif")
tile1.dzsave("file1")
tile2.dzsave("file2")
Then make a web page with openseadragon that loads both images:
http://openseadragon.github.io/examples/multi-image/
You'll need to add some UI to control the opacity of your two layers. Now users will be able to interactively view the images and check for alignment issues.
Hi,
I'm using pyvips for image registration on whole slide images (WSI). I have successfully generated both the target and warped source images, both in TIFF format and of the same size (23157 x 47374).
I need to crop the same region from these two TIFF images and save the cropped areas as PNG or JPG files, so I can easily visualize the registration results on a remote server. Could you please guide me on how to accomplish this?
Thank you for your great library.