```php

function image_hash($image_path) {

$image = imagecreatefromjpeg($image_path);

$width = imagesx($image);

$height = imagesy($image);

$hash = array();

for ($x = ; $x < $width; $x++) {

for ($y = ; $y < $height; $y++) {

$rgb = imagecolorat($image, $x, $y);

$r = ($rgb >> ) & xFF;

$g = ($rgb >> ) & xFF;

$b = $rgb & xFF;

$gray = round(($r * ) + ($g * ) + ($b * ));

$hash[$x][$y] = $gray;

}

}

sort($hash);

return implode('', $hash);

}

$image_hash = image_hash('imagejpg');

$image_hash = image_hash('imagejpg');

if ($image_hash == $image_hash) {

echo "The two images are the same.";

} else {

echo "The two images are different.";

}

```

然而，在實(shí)際用中根據(jù)具體的業(yè)務(wù)需求來(lái)調(diào)整這個(gè)方法。在VR/AR培訓(xùn)教育中，可能更復(fù)雜的圖像識(shí)別算法，深度學(xué)習(xí)模型，以判斷兩幅圖像的內(nèi)容是否相似。