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2025-03-14 (24 days ago)  | | Not yet rated by the users | | Total: Not yet counted | | Not yet ranked |
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| Description | | Author |
This package can compare images learning from human evaluation.
It provides a class that can process uploaded image files, scale the images to make them have the same size, convert the images to gray scale, and compare the gray scale level of all points.
The class can also take the input of a human to confirm or deny if the images are similar and stores the results in a CSV file. Innovation Award
March 2025
Nominee
Vote |
Comparing images can be useful for sites and applications that need to avoid processing duplicated images that may result from plagiarism.
PHP can be used to compare images automatically using functions to process images, thus reducing the need for a human to do that work.
Fully automated processes may result in false positives.
This package provides an automated form to compare images for similarity and also allows humans to analyze the images to confirm or deny if images similar or not, thus reducing the chance of getting false positives.
Manuel Lemos |
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Innovation award
Nominee: 14x
Winner: 1x |
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Example
<?php
/* PHP Image Comparison with Simple Learning Algorithm v1.02
Author: Roberto Aleman
ventics.com */
include 'config.php';
include 'ImageComparator.php';
$comparator = new ImageComparator($maxFileSize, $allowedTypes, $uploadDir, $learningFile);
if ($_SERVER['REQUEST_METHOD'] === 'POST') {
$uploadResults = $comparator->processUploads($_FILES['image1'], $_FILES['image2']);
if (isset($uploadResults['imagePath1'], $uploadResults['imagePath2'])) {
$imagePath1 = $uploadResults['imagePath1'];
$imagePath2 = $uploadResults['imagePath2'];
echo '<div style="display: flex;">';
echo '<img src="' . $imagePath1 . '" style="max-width: 300px; margin-right: 10px;">';
echo '<img src="' . $imagePath2 . '" style="max-width: 300px;">';
echo '</div><br>';
$similarity = $comparator->compareImages($imagePath1, $imagePath2);
echo "Similarity percentage: " . $similarity . "%\n";
echo '<form method="post" action="feedback.php">';
echo '<input type="hidden" name="imagePath1" value="' . $imagePath1 . '">';
echo '<input type="hidden" name="imagePath2" value="' . $imagePath2 . '">';
echo '<input type="hidden" name="calculatedSimilarity" value="' . $similarity . '">';
echo 'Is the similarity calculation adequate? (Does it correctly reflect whether the images are similar or not?)<br>';
echo '<input type="radio" name="response" value="y"> Yes<br>';
echo '<input type="radio" name="response" value="n"> No<br>';
echo '<input type="submit" value="Submit">';
echo '</form>';
$learningResults = $comparator->analyzeLearning();
if ($learningResults) {
echo "Average similarity for similar images: " . $learningResults['averageSimilar'] . "%\n";
echo "Average similarity for different images: " . $learningResults['averageDifferent'] . "%\n";
}
} elseif (isset($uploadResults['errors'])) {
foreach ($uploadResults['errors'] as $error) {
echo $error . "<br>";
}
}
}
?>
<!DOCTYPE html>
<html>
<head>
<title>Image Comparison</title>
</head>
<body>
<h1>Compare Images</h1>
<form method="post" enctype="multipart/form-data">
<label for="image1">Image 1:</label>
<input type="file" name="image1" id="image1" accept="image/*" required><br><br>
<label for="image2">Image 2:</label>
<input type="file" name="image2" id="image2" accept="image/*" required><br><br>
<input type="submit" value="Compare">
</form>
</body>
</html>
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Details
phpicsla
PHP Image Comparison with Simple Learning Algorithm
This PHP code implements a basic image comparison system with machine learning. It allows users to upload two images, calculates a similarity percentage between them, and requests feedback to improve the calculation's accuracy.
please check documentation.html file..
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config.php
documentation.html
