Room Detection in Architectural Plans using OpenCV 🏠

This is a simple and fun project I created in my free time to detect rooms in architectural plan drawings using pure OpenCV. I thought it might be useful to share it in case others find it interesting or helpful.

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Requirements

• Python 3.x
• OpenCV
• NumPy
• Matplotlib

Install dependencies using:

pip install opencv-python matplotlib numpy

Code Explanation

• Input: Grayscale floor plan image.
• Output: Segmented image highlighting rooms, walls, and other components.

The main steps include:

• Binary Mask Creation: Thresholding the input to isolate structures.
• Edge Detection: Using the Canny edge detector to identify lines.
• Line Merging: Hough Transform combines lines for room segmentation.
• Connected Components Analysis: Detects and labels rooms, doors, and spaces.

Usage:

Place your architectural plan image in the data folder (e.g., floor_plan.png). Run the script:

python detect_rooms.py

Results will be displayed comparing the original and segmented images.

Notes

• This project is not perfect and was created for learning purposes.
• Feel free to modify, share, or contribute if you're interested!