| 类 | 说明 |
|---|---|
| AutoColorCorrelogram |
Feature for the AutoCorrelogram based on color as described in
Huang, J.; Kumar, S.
|
| BinaryPatternsPyramid |
This class is built the same way as PHOG, but instead of measuring the orientation of gradients, this class uses a
histogram of rotation-invariant local binary patterns.
|
| CEDD |
The CEDD feature was created, implemented and provided by Savvas A.
|
| ColorLayout |
Just a wrapper for the use of LireFeature.
|
| EdgeHistogram |
Just a wrapper for the use of LireFeature.
|
| FCTH |
The FCTH feature was created, implemented and provided by Savvas A.
|
| FuzzyColorHistogram | |
| FuzzyOpponentHistogram |
Simple fuzzy 64 bin Opponent Histogram, based on the Opponent color space as described in van de Sande, Gevers & Snoek (2010)
"Evaluating Color Descriptors for Object and Scene Recognition", IEEE PAMI (see BibTeX in the source code).
|
| Gabor |
Implementation of a Gabor texture features done by Marko Keuschnig & Christian Penz
Fixed 2011-05-10 based on the comments of Arthur Lin. |
| JCD |
A joint descriptor joining CEDD and FCTH in one histogram.
|
| JpegCoefficientHistogram | |
| LocalBinaryPatterns |
A simple implementation of the original local binary pattern texture feature.
|
| LuminanceLayout |
The LuminanceLayout Descriptor is intended for grayscale or B/W images.
|
| OpponentHistogram |
Simple 64 bin Opponent Histogram, based on the Opponent color space as described in van de Sande, Gevers & Snoek (2010)
"Evaluating Color Descriptors for Object and Scene Recognition", IEEE PAMI (see BibTeX in the source code).
|
| PHOG |
The PHOG descriptor is described in Anna Bosch, Andrew Zisserman & Xavier Munoz (2007) "Representing shape with a
spatial pyramid kernel", CVIR 2007.
|
| RotationInvariantLocalBinaryPatterns |
A simple implementation of the rotation invariant local binary pattern feature.
|
| ScalableColor |
Just a wrapper for the use of LireFeature.
|
| SimpleColorHistogram |
This class provides a simple color histogram for content based image retrieval.
|
| Tamura |
Implementation of (three) Tamura features done by Marko Keuschnig & Christian Penz
Changes by Ankit Jain (jankit87@gmail.com): histogram length in set string shen72@users.sourceforge.net: bugfixes in math (casting and brackets) Arthur Lin (applefan99@gmail.com) 2011-05-10: fix to avoid NaN Date: 28.05.2008 Time: 11:52:03 |
| 枚举 | 说明 |
|---|---|
| AutoColorCorrelogram.ExtractionMethod |
Defines which algorithm to use to extract the features vector
|
| AutoColorCorrelogram.Mode |
Defines the available analysis modes: Superfast uses the approach described in the paper, Quarterneighbourhood
investigates the pixels in down and to the right of the respective pixel and FullNeighbourhood investigates
the whole lot of pixels within maximumDistance of the respective pixel.
|
| SimpleColorHistogram.DistanceFunction |
Lists distance functions possible for this histogram class
|
| SimpleColorHistogram.HistogramType |
Lists possible types for the histogram class
|