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PHP | imagecolorclosesthwb() Function

The imagecolorclosesthwb() function is an inbuilt function in PHP which is used to get the index of the color hue, white and blackness in given image. This function returns an integer value with the index of the color which contains the hue, white and blackness nearest the given color.

Syntax:

int imagecolorclosesthwb ( $image, $red, $green, $blue )

Parameters: This function accepts four parameters as mentioned above and described below:

  • $image: It is returned by one of the image creation functions, such as imagecreatetruecolor(). It is used to create size of image.
  • $red: This parameter is used to set value of red color component.
  • $green: This parameter is used to set value of green color component.
  • $blue: This parameter is used to set value of blue color component.

Return Value: This function returns an integer value with the index of the color hue, white and blackness nearest the given color in image.

Below programs illustrate the imagecolorclosesthwb() function in PHP.



Program 1:

<?php
  
// Create new image from given URL
$image = imagecreatefromgif(
  
// Display the index of color
echo 'Hue White and Blackness closest color index: ' 
    . imagecolorclosesthwb($image, 5, 165, 10);
  
imagedestroy($image);
?>

Output:

Hue White and Blackness closest color index: 42

Program 2:

<?php
  
// Create new image from given URL
$image = imagecreatefromgif(
  
// Array contains rgb color value
$color = array(
    array(7, 150, 0),
    array(53, 190, 255),
    array(255, 165, 54)
);
  
// Loop to find closest HWB color
foreach($color as $id => $rgb)
{
    echo 'Hue White and Blackness closest color index: '
    . imagecolorclosesthwb($image, $rgb[0], $rgb[1], $rgb[2]) . "<br>";
}
  
imagedestroy($image);
?>

Output:

Hue White and Blackness closest color index: 42
Hue White and Blackness closest color index: 101
Hue White and Blackness closest color index: 186

Related Articles:

Reference: http://php.net/manual/en/function.imagecolorclosesthwb.php



This article is attributed to GeeksforGeeks.org

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