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HaralickDescriptor Properties |
The HaralickDescriptor type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | AngularSecondMomentum |
Gets Haralick's first textural feature, the
Angular Second Momentum, also known as Energy
or Homogeneity.
|
| ClusterProminence |
Gets the Cluster Prominence textural feature.
|
| ClusterShade |
Gets the Cluster Shade textural feature.
|
| ColumnEntropy |
Gets Hy, the entropy of the
ColumnMarginal vector.
|
| ColumnMarginal |
Gets the marginal probability vector
obtained by summing the columns of p(i,j),
given as py(j) = Σi p(i,j).
|
| ColumnMean |
Gets μ_y, the mean value of the
ColumnMarginal vector.
|
| ColumnStandardDeviation |
Gets σy, the variance of the
ColumnMarginal vector.
|
| Contrast |
Gets Haralick's second textural feature,
the Contrast.
|
| Correlation |
Gets Haralick's third textural feature,
the Correlation.
|
| DifferenceEntropy |
Gets Haralick's eleventh textural feature,
the Difference Entropy.
|
| Differences |
Gets p(x-y) (k), the sum of elements
whose absolute indices diferences equals to k.
|
| DifferenceVariance |
Gets Haralick's tenth textural feature,
the Difference Variance.
|
| Entropy |
Gets Haralick's ninth textural feature,
the Entropy.
|
| F01 |
Gets Haralick's first textural feature,
the Angular Second Momentum.
|
| F02 |
Gets Haralick's second textural feature,
the Contrast.
|
| F03 |
Gets Haralick's third textural feature,
the Correlation.
|
| F04 |
Gets Haralick's fourth textural feature,
the Sum of Squares: Variance.
|
| F05 |
Gets Haralick's fifth textural feature,
the Inverse Difference Moment.
|
| F06 |
Gets Haralick's sixth textural feature,
the Sum Average.
|
| F07 |
Gets Haralick's seventh textural feature,
the Sum Variance.
|
| F08 |
Gets Haralick's eighth textural feature,
the Sum Entropy.
|
| F09 |
Gets Haralick's ninth textural feature,
the Entropy.
|
| F10 |
Gets Haralick's tenth textural feature,
the Difference Variance.
|
| F11 |
Gets Haralick's eleventh textural feature,
the Difference Entropy.
|
| F12 |
Gets Haralick's twelfth textural feature,
the First Information Measure.
|
| F13 |
Gets Haralick's thirteenth textural feature,
the Second Information Measure.
|
| F14 |
Gets Haralick's fourteenth textural feature,
the Maximal Correlation Coefficient.
|
| FirstInformationMeasure |
Gets Haralick's twelfth textural feature,
the First Information Measure.
|
| GrayLevels |
Gets the number of gray levels in the
original image. This is the number of
dimensions of the co-occurrence matrix.
|
| InverseDifferenceMoment |
Gets Haralick's fifth textural feature, the Inverse
Difference Moment, also known as Local Homogeneity.
Can be regarded as a complement to Contrast.
|
| LaplaceContrast |
Gets a variation of Haralick's second textural feature,
the Contrast with Absolute values (instead of squares).
|
| MaximalCorrelationCoefficient |
Gets Haralick's fourteenth textural feature,
the Maximal Correlation Coefficient.
|
| Mean |
Gets the matrix mean μ.
|
| RowEntropy |
Gets Hx, the entropy of the
RowMarginal vector.
|
| RowMarginal |
Gets the marginal probability vector
obtained by summing the rows of p(i,j),
given as px(i) = Σj p(i,j).
|
| RowMean |
Gets μx, the mean value of the
RowMarginal vector.
|
| RowStandardDeviation |
Gets σx, the variance of the
RowMarginal vector.
|
| SecondInformationMeasure |
Gets Haralick's thirteenth textural feature,
the Second Information Measure.
|
| Sum |
Gets the matrix sum.
|
| SumAverage |
Gets Haralick's sixth textural feature,
the Sum Average.
|
| SumEntropy |
Gets Haralick's eighth textural feature,
the Sum Entropy.
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| SumOfSquares |
Gets Haralick's fourth textural feature,
the Sum of Squares: Variance.
|
| Sums |
Gets p(x+y)(k), the sum
of elements whose indices sum to k.
|
| SumVariance |
Gets Haralick's seventh textural feature,
the Sum Variance.
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| TextureHomogeneity |
Gets a variation of Haralick's fifth textural feature,
the Texture Homogeneity. Can be regarded as a complement
to LaplaceContrast.
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See Also