An academic project for Computer Vision (CS-GY-6643) at NYU Tandon with Prof Edward Wong.
Objective: To implement a canny edge detector from scratch using the Prewitt operator and comprising of the four steps: gaussian smoothening, gradient operation, non-maxima suppression and thresholding. The program accepts a bmp input image and outputs 5 intermidiate images along with 3 final binary edge maps at three thresholds.
For more details: Prompt & Report
- Ensure python3 is setup on your system.
- Download the python and image files into a directory.
- Enter above directory and pass a test image as a parameter to run the program as follows:
python3 canny.py 'House.bmp'
Suyash Soniminde - [email protected]
Viha Gupta - [email protected]