Feature Matching and Visualization using SURF in MATLAB

This MATLAB script demonstrates how to perform feature detection, extraction, matching, and visualization using the SURF (Speeded-Up Robust Features) algorithm.

Files

• feature_matching_surf.m:
  • This MATLAB script loads two sample images (m111.jpg and m222.jpg), converts them to grayscale, detects SURF features, extracts feature descriptors, matches the features between the two images, and visualizes the results.

Requirements

• MATLAB with Image Processing Toolbox

Setup and Execution

1. Clone the repository or download the script:

   • Clone this repository or download the feature_matching_surf.m script.

2. Open MATLAB:

   • Launch MATLAB and navigate to the directory containing feature_matching_surf.m.

3. Run the Script:

   • Run the script in MATLAB to see the feature detection, extraction, matching, and visualization steps.

Process Overview

1. Detect SURF Features:

   • SURF features are detected in both images.

2. Extract Features:

   • Neighborhood features are extracted around the detected SURF points.

3. Match Features:

   • Features extracted from both images are matched.

4. Visualize Matched Features:

   • The matched features are visualized.

Files Included

• feature_matching_surf.m: MATLAB script for feature matching using SURF.
• m111.jpg: Sample image 1.
• m222.jpg: Sample image 2.