boofcv.alg.feature.describe.impl

Class ImplSurfDescribeOps

java.lang.Object

boofcv.alg.feature.describe.impl.ImplSurfDescribeOps

public class ImplSurfDescribeOps
extends java.lang.Object

Design Note: When estimating the

Constructor Summary

Constructors

Constructor and Description
ImplSurfDescribeOps()

Method Summary

Modifier and Type	Method and Description
static void	gradientInner(GrayF32 ii, double tl_x, double tl_y, double samplePeriod, int regionSize, double kernelSize, float[] derivX, float[] derivY) Computes the gradient for a using the derivX kernel found in DerivativeIntegralImage.
static void	gradientInner(GrayS32 ii, double tl_x, double tl_y, double samplePeriod, int regionSize, double kernelSize, int[] derivX, int[] derivY) Computes the gradient for a using the derivX kernel found in DerivativeIntegralImage.
static <T extends ImageGray> void	naiveGradient(T ii, double tl_x, double tl_y, double samplePeriod, int regionSize, double kernelSize, boolean useHaar, double[] derivX, double[] derivY) Simple algorithm for computing the gradient of a region.

Methods inherited from class java.lang.Object

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

Constructor Detail

ImplSurfDescribeOps

public ImplSurfDescribeOps()

Method Detail

gradientInner

public static void gradientInner(GrayF32 ii,
                                 double tl_x,
                                 double tl_y,
                                 double samplePeriod,
                                 int regionSize,
                                 double kernelSize,
                                 float[] derivX,
                                 float[] derivY)

Computes the gradient for a using the derivX kernel found in DerivativeIntegralImage. Assumes that the entire region, including the surrounding pixels, are inside the image.

gradientInner

public static void gradientInner(GrayS32 ii,
                                 double tl_x,
                                 double tl_y,
                                 double samplePeriod,
                                 int regionSize,
                                 double kernelSize,
                                 int[] derivX,
                                 int[] derivY)

Computes the gradient for a using the derivX kernel found in DerivativeIntegralImage. Assumes that the entire region, including the surrounding pixels, are inside the image.

naiveGradient

public static <T extends ImageGray> void naiveGradient(T ii,
                                                       double tl_x,
                                                       double tl_y,
                                                       double samplePeriod,
                                                       int regionSize,
                                                       double kernelSize,
                                                       boolean useHaar,
                                                       double[] derivX,
                                                       double[] derivY)

Simple algorithm for computing the gradient of a region. Can handle image borders