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Imagick::functionImage

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Imagick::functionImageApplies a function on the image

说明

public Imagick::functionImage ( int $function , array $arguments [, int $channel = Imagick::CHANNEL_DEFAULT ] ) : bool

Applies an arithmetic, relational, or logical expression to a pseudo image.

See also » ImageMagick v6 Examples - Image Transformations — Function, Multi-Argument Evaluate

此方法在Imagick基于ImageMagick 6.4.9以上版本编译时可用。

参数

function

Refer to this list of function constants

arguments

Array of arguments to pass to this function.

返回值

成功时返回 TRUE

错误/异常

错误时抛出 ImagickException。

范例

Example #1 Create a sinusoidal gradient

<?php
$imagick 
= new Imagick();
$imagick->newPseudoImage(200200'gradient:black-white');
$arguments = array(3, -90);
$imagick->functionImage(Imagick::FUNCTION_SINUSOID$arguments);

header("Content-Type: image/png");
$imagick->setImageFormat("png");
echo 
$imagick->getImageBlob();
?>

以上例程的输出类似于:

Output of create a sinusoidal gradient

Example #2 Create a gradient from the polynomial (4x^2 - 4x + 1)

<?php
$imagick 
= new Imagick();
$imagick->newPseudoImage(200200'gradient:black-white');
$arguments = array(4, -41);
$imagick->functionImage(Imagick::FUNCTION_POLYNOMIAL$arguments);

header("Content-Type: image/png");
$imagick->setimageformat("png");
echo 
$imagick->getImageBlob();
?>

以上例程的输出类似于:

Output of create a polynomial gradient

Example #3 Create a complex gradient from the polynomial (4x^2 - 4x^2 + 1) modulated by a sinusoidal gradient

<?php
$imagick1 
= new Imagick();
$imagick1->newPseudoImage(200200'gradient:black-white');
$arguments = array(9, -90);
$imagick1->functionImage(Imagick::FUNCTION_SINUSOID$arguments);

$imagick2 = new Imagick();
$imagick2->newPseudoImage(200200'gradient:black-white');
$arguments = array(0.50);
$imagick2->functionImage(Imagick::FUNCTION_SINUSOID$arguments);
$imagick1->compositeimage($imagick2Imagick::COMPOSITE_MULTIPLY00);

header("Content-Type: image/png");
$imagick1->setImageFormat("png");
echo 
$imagick1->getImageBlob();
?>

以上例程的输出类似于:

Output of create complex gradient