PROBLEM STATEMENT

Sample Input

Such an image of a graph, having X and Y axes. Find the images to be tested at the input_images/ directory of the repository.

Sample Output

Input image + rectangular boxes drawn around the markings on the axes.

Languages

C++ / Python

Useful tips

• Browse through the OpenCV library documentation and find functions that would be helpful to implement this.

• The basic idea of solution, is to find contours (regions, maybe rectangular ones) that have atleast a certain level of text density and are on the left side of Y-axis or below the X-axis.

• Text can be recognised by the sudden change in intensity level with respect to the background.

• The trick lies in differentiating the X & Y axes from the graph's curve - use Google, StackOverflow and OpenCV tutorials to the maximum extent.

It may be tough to get all the readings accurately. Keep trying, submit your best attempt. Good luck!

Important Note

• Coordinates of the origin of the graph should not be hard-coded specific to a particular image. The same script should work on as many images as given in the input_images/ directory.

• Variables like cutoff text density can be hard-coded. Bonus points for deciding the cutoff intensity dynamically.

Submission Guidelines

1. Fork this repository on GitHub.

2. Clone your fork with git clone statement.

3. Make your local changes, in the sub-directory: graph-detect/<username>/ (Here, username is your Github username)

4. Push these changes to your fork with git add, git commit and git push statements.

5. Create a Pull Request to this repository by comparing across forks with your fork.