thirdparty.colorthief

Class ColorThief

java.lang.Object

thirdparty.colorthief.ColorThief

public class ColorThief
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
ColorThief()

Method Summary

Modifier and Type	Method and Description
static int[]	getColor(java.awt.image.BufferedImage sourceImage) Use the median cut algorithm to cluster similar colors and return the base color from the largest cluster.
static int[]	getColor(java.awt.image.BufferedImage sourceImage, int quality, boolean ignoreWhite) Use the median cut algorithm to cluster similar colors and return the base color from the largest cluster.
static MMCQ.CMap	getColorMap(java.awt.image.BufferedImage sourceImage, int colorCount) Use the median cut algorithm to cluster similar colors.
static MMCQ.CMap	getColorMap(java.awt.image.BufferedImage sourceImage, int colorCount, int quality, boolean ignoreWhite) Use the median cut algorithm to cluster similar colors.
static int[][]	getPalette(java.awt.image.BufferedImage sourceImage, int colorCount) Use the median cut algorithm to cluster similar colors.
static int[][]	getPalette(java.awt.image.BufferedImage sourceImage, int colorCount, int quality, boolean ignoreWhite) Use the median cut algorithm to cluster similar colors.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ColorThief

public ColorThief()

Method Detail

getColor

public static int[] getColor(java.awt.image.BufferedImage sourceImage)

Use the median cut algorithm to cluster similar colors and return the base color from the largest cluster.

Parameters:

sourceImage - the source image

Returns:

the dominant color as RGB array

getColor

public static int[] getColor(java.awt.image.BufferedImage sourceImage,
                             int quality,
                             boolean ignoreWhite)

Use the median cut algorithm to cluster similar colors and return the base color from the largest cluster.

Parameters:

sourceImage - the source image

quality - 1 is the highest quality settings. 10 is the default. There is a trade-off between quality and speed. The bigger the number, the faster a color will be returned but the greater the likelihood that it will not be the visually most dominant color.

ignoreWhite - if true, white pixels are ignored

Returns:

the dominant color as RGB array

Throws:

java.lang.IllegalArgumentException - if quality is < 1

getPalette

public static int[][] getPalette(java.awt.image.BufferedImage sourceImage,
                                 int colorCount)

Use the median cut algorithm to cluster similar colors.

Parameters:

sourceImage - the source image

colorCount - the size of the palette; the number of colors returned

Returns:

the palette as array of RGB arrays

getPalette

public static int[][] getPalette(java.awt.image.BufferedImage sourceImage,
                                 int colorCount,
                                 int quality,
                                 boolean ignoreWhite)

Use the median cut algorithm to cluster similar colors.

Parameters:

sourceImage - the source image

colorCount - the size of the palette; the number of colors returned

quality - 1 is the highest quality settings. 10 is the default. There is a trade-off between quality and speed. The bigger the number, the faster the palette generation but the greater the likelihood that colors will be missed.

ignoreWhite - if true, white pixels are ignored

Returns:

the palette as array of RGB arrays

Throws:

java.lang.IllegalArgumentException - if quality is < 1

getColorMap

public static MMCQ.CMap getColorMap(java.awt.image.BufferedImage sourceImage,
                                    int colorCount)

Use the median cut algorithm to cluster similar colors.

Parameters:

sourceImage - the source image

colorCount - the size of the palette; the number of colors returned (minimum 2, maximum 256)

Returns:

the color map

getColorMap

public static MMCQ.CMap getColorMap(java.awt.image.BufferedImage sourceImage,
                                    int colorCount,
                                    int quality,
                                    boolean ignoreWhite)

Use the median cut algorithm to cluster similar colors.

Parameters:

sourceImage - the source image

colorCount - the size of the palette; the number of colors returned (minimum 2, maximum 256)

quality - 1 is the highest quality settings. 10 is the default. There is a trade-off between quality and speed. The bigger the number, the faster the palette generation but the greater the likelihood that colors will be missed.

ignoreWhite - if true, white pixels are ignored

Returns:

the color map

Throws:

java.lang.IllegalArgumentException - if quality is < 1