This module provides a very simplistic method to compute the
digital image correlation
between two, single-channel, grayscale input images. If you run correlation.py
with 3-channel color images (e.g. .jpg files), they'll be converted to grayscale.
The second image must be smaller than the first.
NOTE: This is a very simple, slow, inneficient way to compute correlation.
Here's one way to use this script:
- Create a virtual environment with
python3 -m venv env - Activate it:
source env/bin/activate - Install the required libraries:
pip install -r requirements.txt - Run the script:
python correlation.py <input-image> <smaller-image-to-match>
See the images in example_images for an example of this code. Run the
following command to see the results:
python correlation example_images/dandilions.jpg example_images/tip.jpg
This code may be distributed under the terms of the MIT license. See the LICENSE.txt file for the full license.