到目前为止,我已经找到了如何获取图像中每个像素的所有RGB值的示例,但我想要一些能够分解图像并给我一个简化的调色板的东西。
有没有办法使用imagetruecolortopalette以某种方式吐出减少的调色板颜色,或者将图像分成25 x 25块,然后获取该块的平均值?
也许有一种替代方案我不知道?我基本上只是希望能够找到图像中最常见的颜色。
提前致谢。
答案 0 :(得分:1)
完整的代码如下
$microTime = microtime(true);
function textColor($R1, $G1, $B1) {
$a = (($R1 * 299) + ($G1 * 587 ) + ($B1 * 114 )) / 1000;
if ($a < 128)
return 'white';
else
return 'black';
}
function rgb2html($r, $g = -1, $b = -1) {
$hex = "#";
$hex.= str_pad(dechex($r), 2, "0", STR_PAD_LEFT);
$hex.= str_pad(dechex($g), 2, "0", STR_PAD_LEFT);
$hex.= str_pad(dechex($b), 2, "0", STR_PAD_LEFT);
return $hex;
if (is_array($r) && sizeof($r) == 3)
list($r, $g, $b) = $r;
$r = intval($r);
$g = intval($g);
$b = intval($b);
$r = dechex($r < 0 ? 0 : ($r > 255 ? 255 : $r));
$g = dechex($g < 0 ? 0 : ($g > 255 ? 255 : $g));
$b = dechex($b < 0 ? 0 : ($b > 255 ? 255 : $b));
$color = (strlen($r) < 2 ? '0' : '') . $r;
$color .= (strlen($g) < 2 ? '0' : '') . $g;
$color .= (strlen($b) < 2 ? '0' : '') . $b;
return '#' . $color;
}
function colorPalette($imageFile, $colorJump, $granularity = 5) {
$granularity = max(1, abs((int) $granularity));
$colors = array();
$ratio = array();
$wastageCount = array();
$occurrenceSCount = array();
$occurrenceMCount = array();
$size = @getimagesize($imageFile);
if ($size === false) {
return false;
}
$img = @imagecreatefromstring(file_get_contents($imageFile));
if (!$img) {
user_error("Unable to open image file");
return false;
}
for ($y = 0; $y < $size[1]; $y += $granularity) {
$lastColor = NULL;
$lastX = -1;
for ($x = 0; $x < $size[0]; $x += $granularity) {
$thisColor = imagecolorat($img, $x, $y);
$rgb = imagecolorsforindex($img, $thisColor);
$red = round(round(($rgb['red'] / $colorJump)) * $colorJump);
$green = round(round(($rgb['green'] / $colorJump)) * $colorJump);
$blue = round(round(($rgb['blue'] / $colorJump)) * $colorJump);
$thisRGB = $red . ',' . $green . ',' . $blue;
if ($lastColor != $thisRGB) {
if (array_key_exists($thisRGB, $wastageCount)) {
$wastageCount[$thisRGB]++;
} else {
$wastageCount[$thisRGB] = 1;
}
if ($lastX + 1 == $x) {
if (array_key_exists($lastColor, $occurrenceSCount)) {
$occurrenceSCount[$lastColor]++;
} else {
$occurrenceSCount[$lastColor] = 1;
}
}
if ($lastX + 1 != $x) {
if (array_key_exists($lastColor, $occurrenceMCount)) {
$occurrenceMCount[$lastColor]++;
} else {
$occurrenceMCount[$lastColor] = 1;
}
}
$lastColor = $thisRGB;
$lastX = $x;
}
if (array_key_exists($thisRGB, $colors)) {
$colors[$thisRGB]++;
} else {
$colors[$thisRGB] = 1;
}
}
}
$totalPixels = array_sum($colors);
foreach ($colors as $k => $v) {
$ratio[$k] = round(($v / $totalPixels ) * 100, 2);
}
return array($ratio, $wastageCount, $colors, $occurrenceSCount, $occurrenceMCount);
}
使用
$colorJump = 1;
$pixelJump = 1;
$paletteR = colorPalette($dbImgFile_dir, $colorJump, $pixelJump);
$palette = $paletteR[0];
$wastage = $paletteR[1];
$colorsFound = $paletteR[2];
$occSArray = $paletteR[3];
$occMArray = $paletteR[4];
$totalPixels = array_sum($colorsFound);
$totalTime = abs(microtime(true) - $microTime);
循环变得更复杂,因为我必须从数据库中获取托盘并将颜色与它们匹配,并且还使用了完全自定义代码的模板解析器,并且对您没有帮助。
从这里忽略“必需权重”列,计算单次出现次数和多次出现次数,如果只有一个像素,例如RED, RED, BLUE, RED, RED
它将是1次出现和2次多次出现