Image stitching combines two or more image into a single image.
This project is the second assignment for the Computer Vision course (Alexandria University).
This project requires the following python libraries:
- Numpy
- CV2
- Tkinter
- Clone the repository
- Go to the project directory
cd image-stitching
- Run the code
python stitch.py
Upon running the project user asked to input the first image,
then the second image.
Then user is asked either to mark the correspondence points on the image,
or to load it from a text file.
If the user choose to mark the points, the two images are opened in two windows,
and the user can mark the corresponding points on the the two images using mouse clicks.
After choosing the points press any keyboard key to continue.
However, adding more points will generally make the result better.
If the user chooses not to mark the points, they can load them from a text file, which has the following format.
The file must have a line for each pair of corresponding points. The line will be in this format:
x1,y1,x2,y2
Where x1,y1 are the coordinates of the point in the first image, and x2,y2 are the coordinates of the corresponding points in the second image.
A text file sample.
106,575,577,610
310,599,774,629
107,505,570,544
175,508,633,547
After the correspondence points are marked or loaded from a file, they are shown on the two images, with the blue color for the first image, and red for the first image.
Then press enter to continue.
The user is asked whether save the output or not.
Then is asked whether save the correspondence points as a text file or not.
