Detecting Shapes from Noisy Image Using OpenCV

This project utilizes OpenCV functions to smoothen the noise in the image and extract shapes

Code

The code does the following in sequence:

• Reading the image and converting from RGB to Gray scale
• Removing Gaussian Noise via Gaussian Blur
• Applying Inverse Binary Adaptive Thresholding
• Finding all Countours in the processed image
• Filtering countours based on their area
• Initializing a new image and drawing the filtered contours