mchinmayarao / MalariaDetector

This repository contains a MATLAB project for malaria detection in microscopic images. It includes a MATLAB app and a standalone script that apply a malaria cell prediction algorithm. The project aims to assist in automating the detection of malaria cells, aiding in medical diagnosis and research.

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.