PHP通过哈希算法来实现搜索相似图片

感知哈希算法

count < =5 匹配最相似
count > 10 两张不同的图片
var_dump(ImageHash::run(‘./1.png', ‘./camnpr.jpg'));

<?php
class ImageHash {
  const FILE_NOT_FOUND = '-1';
  const FILE_EXTNAME_ILLEGAL = '-2';
  private function __construct() {}
  public static function run($src1, $src2) {
    static $self;
    if(!$self) $self = new static;
    if(!is_file($src1) || !is_file($src2)) exit(self::FILE_NOT_FOUND);
    $hash1 = $self->getHashValue($src1);
    $hash2 = $self->getHashValue($src2);
    if(strlen($hash1) !== strlen($hash2)) return false;
    $count = 0;
    $len = strlen($hash1);
    for($i = 0; $i < $len; $i++) if($hash1[$i] !== $hash2[$i]) $count++;
    return $count <= 10 ? true : false;
  }
  public function getImage($file) {
    $extname = pathinfo($file, PATHINFO_EXTENSION);
    if(!in_array($extname, ['jpg','jpeg','png','gif'])) exit(self::FILE_EXTNAME_ILLEGAL);
    $img = call_user_func('imagecreatefrom'. ( $extname == 'jpg' ? 'jpeg' : $extname ) , $file);
    return $img;
  }
  public function getHashValue($file) {
    $w = 8;
    $h = 8;
    $img = imagecreatetruecolor($w, $h);
    list($src_w, $src_h) = getimagesize($file);
    $src = $this->getImage($file);
    imagecopyresampled($img, $src, 0, 0, 0, 0, $w, $h, $src_w, $src_h);
    imagedestroy($src);
    $total = 0;
    $array = array();
    for( $y = 0; $y < $h; $y++) {
      for ($x = 0; $x < $w; $x++) {
        $gray = (imagecolorat($img, $x, $y) >> 8) & 0xFF;
        if(!isset($array[$y])) $array[$y] = array();
        $array[$y][$x] = $gray;
        $total += $gray;
      }
    }
    imagedestroy($img);
    $average = intval($total / ($w * $h * 2));
    $hash = '';
    for($y = 0; $y < $h; $y++) {
      for($x = 0; $x < $w; $x++) {
        $hash .= ($array[$y][$x] >= $average) ? '1' : '0';
      }
    }
    var_dump($hash);
    return $hash;
  }
}
var_dump(ImageHash::run('./1.png', './camnpr.jpg'));

方法二：

hash($f);
 return $isString ? $result[0] : $result;
 public function checkIsSimilarImg($imgHash, $otherImgHash){
 if (file_exists($imgHash) && file_exists($otherImgHash)){
  $imgHash = $this->run($imgHash);
  $otherImgHash = $this->run($otherImgHash);
 }
 if (strlen($imgHash) !== strlen($otherImgHash)) return false;
 $count = 0;
 $len = strlen($imgHash);
 for($i=0;$i<$len;$i++){
  if ($imgHash{$i} !== $otherImgHash{$i}){
  $count++;
  }
 }
 return $count <= (5 * $rate * $rate) ? true : false;
 }
 public function hash($file){
 if (!file_exists($file)){
  return false;
 }
 $height = 8 * $this->rate;
 $width = 8 * $this->rate;
 $img = imagecreatetruecolor($width, $height);
 list($w, $h) = getimagesize($file);
 $source = $this->createImg($file);
 imagecopyresampled($img, $source, 0, 0, 0, 0, $width, $height, $w, $h);
 $value = $this->getHashValue($img);
 imagedestroy($img);
 return $value;
 }
 public function getHashValue($img){
 $width = imagesx($img);
 $height = imagesy($img);
 $total = 0;
 $array = array();
 for ($y=0;$y<$height;$y++){
  for ($x=0;$x<$width;$x++){
  $gray = ( imagecolorat($img, $x, $y) >> 8 ) & 0xFF;
  if (!is_array($array[$y])){
   $array[$y] = array();
  }
  $array[$y][$x] = $gray;
  $total += $gray;
  }
 }
 $average = intval($total / (64 * $this->rate * $this->rate));
 $result = '';
 for ($y=0;$y<$height;$y++){
  for ($x=0;$x<$width;$x++){
  if ($array[$y][$x] >= $average){
   $result .= '1';
  }else{
   $result .= '0';
  }
  }
 }
 return $result;
 }
 public function createImg($file){
 $ext = $this->getFileExt($file);
 if ($ext === 'jpeg') $ext = 'jpg';
 $img = null;
 switch ($ext){
  case 'png' : $img = imagecreatefrompng($file);break;
  case 'jpg' : $img = imagecreatefromjpeg($file);break;
  case 'gif' : $img = imagecreatefromgif($file);
 }
 return $img;
 }
 public function getFileExt($file){
 $infos = explode('.', $file);
 $ext = strtolower($infos[count($infos) - 1]);
 return $ext;
 }
}

调用方式如下：

 require_once "Imghash.class.php";
$instance = ImgHash::getInstance();
$result = $instance->checkIsSimilarImg('chenyin/IMG_camnpr.png', 'chenyin/IMG_camnpr.JPG');

如果$result值为true, 则表明2个图片相似，否则不相似。