boofcv.alg.feature.color

Class GHistogramFeatureOps

java.lang.Object

boofcv.alg.feature.color.GHistogramFeatureOps

public class GHistogramFeatureOps
extends java.lang.Object

Generic version of HistogramFeatureOps which determines image type at runtime. See

Constructor Summary

Constructors

Constructor and Description
GHistogramFeatureOps()

Method Summary

Modifier and Type	Method and Description
static void	histogram(double[] colors, int length, Histogram_F64 histogram) Computes a coupled histogram from a list of colors.
static <T extends boofcv.struct.image.ImageGray> void	histogram(boofcv.struct.image.Planar<T> image, Histogram_F64 histogram) Computes a joint histogram for a planar image.
static <T extends boofcv.struct.image.ImageGray> void	histogram(T image, double minPixelValue, double maxPixelValue, TupleDesc_F64 histogram) Computes a single-band normalized histogram for any single band image.

Methods inherited from class java.lang.Object

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

Constructor Detail

GHistogramFeatureOps

public GHistogramFeatureOps()

Method Detail

histogram

public static <T extends boofcv.struct.image.ImageGray> void histogram(T image,
                                                                       double minPixelValue,
                                                                       double maxPixelValue,
                                                                       TupleDesc_F64 histogram)

Computes a single-band normalized histogram for any single band image.

Parameters:

image - Input image. Not modified.

minPixelValue - Minimum possible value for a pixel.

maxPixelValue - Maximum possible value for a pixel.

histogram - The output histogram.

histogram

public static <T extends boofcv.struct.image.ImageGray> void histogram(boofcv.struct.image.Planar<T> image,
                                                                       Histogram_F64 histogram)

Computes a joint histogram for a planar image. Since it's a joint distribution the histogram can become huge (and too sparse) if bin sizes are used that are too big. Also consider computing the histogram independently in each band.

Parameters:

image - Input image. Not modified.

histogram - Output for the histogram. Must be correctly configured first.

histogram

public static void histogram(double[] colors,
                             int length,
                             Histogram_F64 histogram)

Computes a coupled histogram from a list of colors. If the input is for integer values then add one to the maximum value. For example if the range of values is 0 to 255, then make it 0 to 256.

Parameters:

colors - List of colors stored in an interleaved format

length - Length of usable portion of colors

histogram - Output and histogram configuration.