de.androidpit.colorthief
Class ColorThief

java.lang.Object
  extended by de.androidpit.colorthief.ColorThief

public class ColorThief
extends java.lang.Object


Constructor Summary
ColorThief()
           
 
Method Summary
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 - 0 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

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 - 0 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

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
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
quality - 0 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