MalariaDetector

This project aims to detect malaria cells in microscopic images using MATLAB. It provides both a MATLAB app and a standalone script for malaria detection.

Project Structure

• Malaria: The main project folder.
  • app.mlapp: MATLAB app file for the Malaria detection app.
  • MalariaDetector.app: MATLAB app bundle file for the Malaria detection app.
  • test_images: Folder containing test images for malaria detection.
    • infected: Subfolder containing infected image samples.
    • NotInfected: Subfolder containing non-infected image samples.

Usage

1. MATLAB App (app.mlapp)

   • Open MATLAB and navigate to the Malaria folder.
   • Run the app.mlapp file to launch the Malaria detection app.
   • Click on the "Choose Image" button to select an image file (PNG format).
   • The app will apply the malaria cell prediction algorithm and display the result.

2. Standalone Script (malaria_detection.m)

   • Open MATLAB and navigate to the Malaria folder.
   • Run the malaria_detection.m script to perform malaria detection on the chosen image.
   • Update the file paths in the script to point to the desired image file.

Dependencies

• MATLAB: The project requires MATLAB software to run.
• MATLAB Image Processing Toolbox: Ensure that you have the Image Processing Toolbox installed.

Sample Images

The test_images folder contains sample infected and non-infected microscopic images. You can use these images to test the malaria detection algorithm.