在这份教程中,我们将会学习到如何阻止用户通过上传不雅图片,这个测试了一下只有一点作用,但人家真的要做了估计也没有办法了,下面来给大家介绍解决办法吧.
我在phpclasses.org上面偶然发现一个很有用的,由Bakr Alsharif开发的可以帮助开发者基于皮肤像素点来检测图片的类文件.
它会分析在一张图片的不同部分使用的颜色,并决定其是否匹配人类皮肤颜色的色调,作为分析的结果,他会返回一个反映图片包含xx露的可能性的分值,此外,他还可以输出被分析的图片，上面对使用给定颜色的肤色的像素进行了标记,当前它可以对PNG,GIF和JPEG图片进行分析.
PHP下面展示了如何使用这个PHP类,让我们先从包含过滤器,nf.php文件开始,代码如下:
include('nf.php');
//接下来,创建一个新的名叫ImageFilter的类,然后把它放到一个叫做$filter的变量中,代码如下:
$filter = new ImageFilter;
//获取图片的分值并将其放到一个$score变量中,代码如下:
$score = $filter -> GetScore($_FILES['img']['tmp_name']);
//如果图片分值大于或等于60%,那就展示一条（告警）消息,代码如下:
if($score >= 60){
/*Message*/
}下面是所有的PHP代码:
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index.php
GetScore($_FILES['img']['tmp_name']);
/*If the $score variable is set*/
if (isset($score)) {
/*If the image contains nudity display image score and message. Score value If more than 60%, it consider as adult image.*/
if ($score >= 60){
$error = "Image scored " . $score . "%, It seems that you have uploaded a nude picture.";
/*If the image doesn't contain nudity*/
} else if ($score < 0) {
$error = "Congratulations, you have uplaoded an non-nude image.";
}
}
?>
Nudity Filter - RRPowered
nf.php
arA['R'] = ($this->colorA >> 16) & 0xFF;
$this->arA['G'] = ($this->colorA >> 8) & 0xFF;
$this->arA['B'] = $this->colorA & 0xFF;
$this->arB['R'] = ($this->colorB >> 16) & 0xFF;
$this->arB['G'] = ($this->colorB >> 8) & 0xFF;
$this->arB['B'] = $this->colorB & 0xFF;
}
function GetScore($image)
{
$x = 0; $y = 0;
$img = $this->_GetImageResource($image, $x, $y);
if(!$img) return false;
$score = 0;
$xPoints = array($x/8, $x/4, ($x/8 + $x/4), $x-($x/8 + $x/4), $x-($x/4), $x-($x/8));
$yPoints = array($y/8, $y/4, ($y/8 + $y/4), $y-($y/8 + $y/4), $y-($y/8), $y-($y/8));
$zPoints = array($xPoints[2], $yPoints[1], $xPoints[3], $y);
for($i=1; $i<=$x; $i++)
{
for($j=1; $j<=$y; $j++)
{
$color = imagecolorat($img, $i, $j);
if($color >= $this->colorA && $color <= $this->colorB)
{
$color = array('R'=> ($color >> 16) & 0xFF, 'G'=> ($color >> 8) & 0xFF, 'B'=> $color & 0xFF);
if($color['G'] >= $this->arA['G'] && $color['G'] <= $this->arB['G'] && $color['B'] >= $this->arA['B'] && $color['B'] <= $this->arB['B'])
{
if($i >= $zPoints[0] && $j >= $zPoints[1] && $i <= $zPoints[2] && $j <= $zPoints[3])
{
$score += 3;
}
elseif($i <= $xPoints[0] || $i >=$xPoints[5] || $j <= $yPoints[0] || $j >= $yPoints[5])
{
$score += 0.10;
}
elseif($i <= $xPoints[0] || $i >=$xPoints[4] || $j <= $yPoints[0] || $j >= $yPoints[4])
{
$score += 0.40;
}
else
{
$score += 1.50;
}
}
}
}
}
imagedestroy($img);
$score = sprintf('%01.2f', ($score * 100) / ($x * $y));
if($score > 100) $score = 100;
return $score;
}
function GetScoreAndFill($image, $outputImage)
{
$x = 0; $y = 0;
$img = $this->_GetImageResource($image, $x, $y);
if(!$img) return false;
$score = 0;
$xPoints = array($x/8, $x/4, ($x/8 + $x/4), $x-($x/8 + $x/4), $x-($x/4), $x-($x/8));
$yPoints = array($y/8, $y/4, ($y/8 + $y/4), $y-($y/8 + $y/4), $y-($y/8), $y-($y/8));
$zPoints = array($xPoints[2], $yPoints[1], $xPoints[3], $y);
for($i=1; $i<=$x; $i++)
{
for($j=1; $j<=$y; $j++)
{
$color = imagecolorat($img, $i, $j);
if($color >= $this->colorA && $color <= $this->colorB)
{
$color = array('R'=> ($color >> 16) & 0xFF, 'G'=> ($color >> 8) & 0xFF, 'B'=> $color & 0xFF);
if($color['G'] >= $this->arA['G'] && $color['G'] <= $this->arB['G'] && $color['B'] >= $this->arA['B'] && $color['B'] <= $this->arB['B'])
{
if($i >= $zPoints[0] && $j >= $zPoints[1] && $i <= $zPoints[2] && $j <= $zPoints[3])
{
$score += 3;
imagefill($img, $i, $j, 16711680);
}
elseif($i <= $xPoints[0] || $i >=$xPoints[5] || $j <= $yPoints[0] || $j >= $yPoints[5])
{
$score += 0.10;
imagefill($img, $i, $j, 14540253);
}
elseif($i <= $xPoints[0] || $i >=$xPoints[4] || $j <= $yPoints[0] || $j >= $yPoints[4])
{
$score += 0.40;
imagefill($img, $i, $j, 16514887);
}
else
{
$score += 1.50;
imagefill($img, $i, $j, 512);
}
}
}
}
}
imagejpeg($img, $outputImage);
imagedestroy($img);
$score = sprintf('%01.2f', ($score * 100) / ($x * $y));
if($score > 100) $score = 100;
return $score;
}
function _GetImageResource($image, &$x, &$y)
{
$info = GetImageSize($image);
$x = $info[0];
$y = $info[1];
switch( $info[2] )
{
case IMAGETYPE_GIF:
return @ImageCreateFromGif($image);
case IMAGETYPE_JPEG:
return @ImageCreateFromJpeg($image);
case IMAGETYPE_PNG:
return @ImageCreateFromPng($image);
default:
return false;
}
}
}
?>标记语言:我们可以使用一个基础的HTML表单上传图片,代码如下:
请记得,PHP不能够检测所有的图片,所以不完全可信,我希望你觉得这还有点用处.
教程地址：
欢迎转载！但请带上文章地址^^
