boofcv.examples.segmentation

Class ExampleSegmentColor

java.lang.Object

boofcv.examples.segmentation.ExampleSegmentColor

public class ExampleSegmentColor
extends java.lang.Object

Example which demonstrates how color can be used to segment an image. The color space is converted from RGB into HSV. HSV separates intensity from color and allows you to search for a specific color based on two values independent of lighting conditions. Other color spaces are supported, such as YUV, XYZ, and LAB.

Constructor Summary

Constructors

Constructor and Description
ExampleSegmentColor()

Method Summary

Modifier and Type	Method and Description
static void	main(java.lang.String[] args)
static void	printClickedColor(java.awt.image.BufferedImage image) Shows a color image and allows the user to select a pixel, convert it to HSV, print the HSV values, and calls the function below to display similar pixels.
static void	showSelectedColor(java.lang.String name, java.awt.image.BufferedImage image, float hue, float saturation) Selectively displays only pixels which have a similar hue and saturation values to what is provided.

Methods inherited from class java.lang.Object

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

Constructor Detail

ExampleSegmentColor

public ExampleSegmentColor()

Method Detail

printClickedColor

public static void printClickedColor(java.awt.image.BufferedImage image)

Shows a color image and allows the user to select a pixel, convert it to HSV, print the HSV values, and calls the function below to display similar pixels.

showSelectedColor

public static void showSelectedColor(java.lang.String name,
                                     java.awt.image.BufferedImage image,
                                     float hue,
                                     float saturation)

Selectively displays only pixels which have a similar hue and saturation values to what is provided. This is intended to be a simple example of color based segmentation. Color based segmentation can be done in RGB color, but is more problematic due to it not being intensity invariant. More robust techniques can use Gaussian models instead of a uniform distribution, as is done below.

main

public static void main(java.lang.String[] args)