Road-Network-Extraction

We have performed Road-Network-Extraction using classical Image processing and few libraries.

PRE

We performed here various methods and steps and experimented a bit after reading various research paper. We have stored the part we liked, it includes loading the image and applying unsharp making via gaussian filter and then we performed canny edge detection.

Road-Network-Extraction-final-

Here is the final project which include steps as -

• Reading the image
• Image segmentation via K-means clustering
• Coverting image to grayscale image
• Thresholding using epsilon-neighbourhood
• Detect edges using laplacian-gradient method
• Overlay edge and original image

Example Usage

• Install required libraries

  • Opencv
  • Matplotlib
  • Numpy
  • Sklearn

• Clone Repo

  https://github.com/abhaykes1/Road-Network-Extraction.git

• Change working directory

  cd Road-Network-Extraction

• Run main file

  python3 Main.py

Outputs

Input image

Segmentation using k-means

epsilon neighbourhood thresholding

Road extracted