Image processing project using Python and OpenCV. It covers grayscale conversion, blurring, edge detection, contour drawing, and image resizing with visual output
- Load and display images using OpenCV and Matplotlib
- Convert images to grayscale
- Apply Gaussian blur to reduce noise
- Detect edges using the Canny algorithm
- Find and draw object contours
- Resize processed images while maintaining aspect ratio
- Save final output image
- View each image processing step immediately after execution (great for learning!)
- Python 3
- OpenCV (
opencv-python) - Matplotlib
- Upload your image to Google Colab
- Run the notebook cells step-by-step
- View and understand each processing stage visually
- Download the final processed image
| Step | Output Description |
|---|---|
| Original Image | Unedited input image |
| Grayscale | Black and white version |
| Gaussian Blur | Smoothed image |
| Canny Edge | Edges highlighted |
| Contour Drawing | Green outlines of shapes |
| Resized Output | Final image, scaled and saved |