How to create database to store extracted values?

I have extracted 110 features of an image and input them in a features vector A:

A=[f1,f2,f3,f4....,f110];

How can i create a function that'll take a folder path as input and extract the features of every image and place it in a file to create a matrix of feature vectors of each sample , each row represent the parameters of a different sample and each column represent a different feature. Note that'll need to call those vectors back from the database in the main code.

Answer 1

[Jaynik]

Hi Elias,

Following is a sample function that you can use for creating a '.mat' file of features. You will need to change it based on your requirements.

function createFeatureDatabase(folderPath, outputFile)
    % Get list of all image files in the folder
    imageFiles = dir(fullfile(folderPath, '*.jpg')); % Adjust the extension as needed
    numImages = length(imageFiles);
    
    % Initialize an empty matrix to store features
    featureMatrix = [];
    
    for i = 1:numImages
        img = imread(fullfile(folderPath, imageFiles(i).name));
        
        % Extract features (replace this with your actual feature extraction code)
        features = extractFeatures(img);
        
        % Append the features to the feature matrix
        featureMatrix = [featureMatrix; features];
    end
    
    % Save the feature matrix to a file
    save(outputFile, 'featureMatrix');
end

createFeatureDatabase('path/to/your/folder', 'featureDatabase.mat');

To load the feature matrix and create the database:

load('featureDatabase.mat', 'featureMatrix');

Hope this helps!