Package org.opencv.img_hash

Class Img_hash

java.lang.Object

org.opencv.img_hash.Img_hash

public class Img_hash
extends Object

Field Summary

Fields

Modifier and Type	Field	Description
static final int	BLOCK_MEAN_HASH_MODE_0
static final int	BLOCK_MEAN_HASH_MODE_1

Constructor Summary

Constructors

Constructor	Description
Img_hash()

Method Summary

Modifier and Type	Method	Description
static void	averageHash(Mat inputArr, Mat outputArr)	Calculates img_hash::AverageHash in one call
static void	blockMeanHash(Mat inputArr, Mat outputArr)	Computes block mean hash of the input image
static void	blockMeanHash(Mat inputArr, Mat outputArr, int mode)	Computes block mean hash of the input image
static void	colorMomentHash(Mat inputArr, Mat outputArr)	Computes color moment hash of the input, the algorithm is come from the paper "Perceptual Hashing for Color Images Using Invariant Moments"
static void	marrHildrethHash(Mat inputArr, Mat outputArr)	Computes average hash value of the input image
static void	marrHildrethHash(Mat inputArr, Mat outputArr, float alpha)	Computes average hash value of the input image
static void	marrHildrethHash(Mat inputArr, Mat outputArr, float alpha, float scale)	Computes average hash value of the input image
static void	pHash(Mat inputArr, Mat outputArr)	Computes pHash value of the input image
static void	radialVarianceHash(Mat inputArr, Mat outputArr)	Computes radial variance hash of the input image
static void	radialVarianceHash(Mat inputArr, Mat outputArr, double sigma)	Computes radial variance hash of the input image
static void	radialVarianceHash(Mat inputArr, Mat outputArr, double sigma, int numOfAngleLine)	Computes radial variance hash of the input image

Methods inherited from class java.lang.Object

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

Field Details

BLOCK_MEAN_HASH_MODE_0

public static final int BLOCK_MEAN_HASH_MODE_0

See Also:

• Constant Field Values

BLOCK_MEAN_HASH_MODE_1

public static final int BLOCK_MEAN_HASH_MODE_1

See Also:

• Constant Field Values

Constructor Details

Img_hash

public Img_hash()

Method Details

pHash

public static void pHash(Mat inputArr,
 Mat outputArr)

Computes pHash value of the input image

Parameters:

inputArr - input image want to compute hash value, type should be CV_8UC4, CV_8UC3, CV_8UC1.

outputArr - Hash value of input, it will contain 8 uchar value

averageHash

public static void averageHash(Mat inputArr,
 Mat outputArr)

Calculates img_hash::AverageHash in one call

Parameters:

inputArr - input image want to compute hash value, type should be CV_8UC4, CV_8UC3 or CV_8UC1.

outputArr - Hash value of input, it will contain 16 hex decimal number, return type is CV_8U

blockMeanHash

public static void blockMeanHash(Mat inputArr,
 Mat outputArr,
 int mode)

Computes block mean hash of the input image

Parameters:

inputArr - input image want to compute hash value, type should be CV_8UC4, CV_8UC3 or CV_8UC1.

outputArr - Hash value of input, it will contain 16 hex decimal number, return type is CV_8U

mode - the mode

blockMeanHash

public static void blockMeanHash(Mat inputArr,
 Mat outputArr)

Computes block mean hash of the input image

Parameters:

inputArr - input image want to compute hash value, type should be CV_8UC4, CV_8UC3 or CV_8UC1.

outputArr - Hash value of input, it will contain 16 hex decimal number, return type is CV_8U

radialVarianceHash

public static void radialVarianceHash(Mat inputArr,
 Mat outputArr,
 double sigma,
 int numOfAngleLine)

Computes radial variance hash of the input image

Parameters:

inputArr - input image want to compute hash value, type should be CV_8UC4, CV_8UC3, CV_8UC1.

outputArr - Hash value of input

sigma - Gaussian kernel standard deviation

numOfAngleLine - The number of angles to consider

radialVarianceHash

public static void radialVarianceHash(Mat inputArr,
 Mat outputArr,
 double sigma)

Computes radial variance hash of the input image

Parameters:

inputArr - input image want to compute hash value, type should be CV_8UC4, CV_8UC3, CV_8UC1.

outputArr - Hash value of input

sigma - Gaussian kernel standard deviation

radialVarianceHash

public static void radialVarianceHash(Mat inputArr,
 Mat outputArr)

Computes radial variance hash of the input image

Parameters:

inputArr - input image want to compute hash value, type should be CV_8UC4, CV_8UC3, CV_8UC1.

outputArr - Hash value of input

marrHildrethHash

public static void marrHildrethHash(Mat inputArr,
 Mat outputArr,
 float alpha,
 float scale)

Computes average hash value of the input image

Parameters:

inputArr - input image want to compute hash value, type should be CV_8UC4, CV_8UC3, CV_8UC1.

outputArr - Hash value of input, it will contain 16 hex decimal number, return type is CV_8U

alpha - int scale factor for marr wavelet (default=2).

scale - int level of scale factor (default = 1)

marrHildrethHash

public static void marrHildrethHash(Mat inputArr,
 Mat outputArr,
 float alpha)

Computes average hash value of the input image

Parameters:

inputArr - input image want to compute hash value, type should be CV_8UC4, CV_8UC3, CV_8UC1.

outputArr - Hash value of input, it will contain 16 hex decimal number, return type is CV_8U

alpha - int scale factor for marr wavelet (default=2).

marrHildrethHash

public static void marrHildrethHash(Mat inputArr,
 Mat outputArr)

Computes average hash value of the input image

Parameters:

inputArr - input image want to compute hash value, type should be CV_8UC4, CV_8UC3, CV_8UC1.

outputArr - Hash value of input, it will contain 16 hex decimal number, return type is CV_8U

colorMomentHash

public static void colorMomentHash(Mat inputArr,
 Mat outputArr)

Computes color moment hash of the input, the algorithm is come from the paper "Perceptual Hashing for Color Images Using Invariant Moments"

Parameters:

inputArr - input image want to compute hash value, type should be CV_8UC4, CV_8UC3 or CV_8UC1.

outputArr - 42 hash values with type CV_64F(double)