Automatic merge/stitching of regular spaced images
This software aims to be a reliable way to stitch your microscope images. To get good results, a couple of assumptions should be true about your dataset:
- images are regular spaced
- images are of same size
- side by side images have translation only in one dimension
- (if not, check your scanning mirror rotation)
- scale in edge of images are constant
Install using pip…
pip install microscopestitching
from microscopestitching import stitch from skimage.io import imsave images =  for i in range(50): row = i // 10 col = i % 10 images.append(('%d.png' % i, row, col)) merged = stitch(images) imsave('merged.png', merged)
See also notebook examples.
API reference is at http://microscopestitching.rtfd.org.
Install dependencies and link development version of microscopestitching to pip:
git clone https://github.com/arve0/microscopestitching cd microscopestitching pip install -r requirements.txt # install dependencies and microscopestitching-package
Build documentation locally
To build the documentation:
pip install -r docs/requirements.txt make docs
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, Size & Hash SHA256 Hash Help||File Type||Python Version||Upload Date|
(6.6 kB) Copy SHA256 Hash SHA256
|Wheel||3.4||Jun 17, 2015|
(4.1 MB) Copy SHA256 Hash SHA256
|Source||None||Jun 17, 2015|