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CBIR System in MATLAB

This project implements a Content-Based Image Retrieval (CBIR) system in MATLAB.
The system extracts features from images, compares them to a query image, and returns the top-3 most similar images from the dataset.

Features

  • Extracts 9 features (intensity, morphological, and texture-based) from each image:
    • Mean intensity
    • Standard deviation of intensity
    • Minimum intensity
    • Maximum intensity
    • Area (sum of pixel values)
    • Entropy (texture feature)
    • Energy (texture feature)
    • Centroid X, Centroid Y (from morphological analysis)
  • Divides each image into 16 equal blocks and extracts features per block.
  • Computes similarity between query and dataset images using Euclidean distance via pdist2.
  • Includes a separate MATLAB script to resize dataset and query images before feature extraction.
  • Returns and displays the Top-3 most similar images to the query.

Dataset

This project uses the Corel Image Dataset available on Kaggle:
Download dataset

Example Output

  • Input query: query.jpg
  • Returned results:
    • Rank 1: Most similar image
    • Rank 2: Second most similar
    • Rank 3: Third most similar

Author

Shady Nikooei
Digital Image Processing