Image Classification using K-means clustering with Contextual Classification and Relaxation Labeling

First install all the packages requirements for this app using the requirements.txt. Run the following command: pip install -r requirements.txt This will install all the libraries now and will take sometime.

Run the file class_GUI:

1. Click 'Open' to start the app.

2. Input the image

3. Enter the value of number of clusters (k)

4. Click on 'Show k-means output' to see the result of soft k-means

5. Click on 'Enter compatibilty matrix' and enter matrix elements separated by space (for elements in a row) and separated by comma for different rows. ex: [[2 3 4] [1 3 4] [4 5 6]] is written as 2 3 4,1 3 4,4 5 6

6. Enter number of neighbours and iterations in the given boxes.

7. Click on 'OK' to start contectual classification.

8. Now the results of contectual classification and soft k means can be seen by using previous and next buttons.

9. Results can be compared by opening in new window using the button given in GUI.

Developed by: Nazish Khan