Uses of Class
org.opencv.core.Algorithm

Packages that use Algorithm

Package	Description
org.opencv.calib3d
org.opencv.core
org.opencv.dnn
org.opencv.features2d
org.opencv.imgproc
org.opencv.ml
org.opencv.objdetect
org.opencv.photo
org.opencv.video

Uses of Algorithm in org.opencv.calib3d

Subclasses of Algorithm in org.opencv.calib3d

Modifier and Type	Class and Description
class	StereoBM Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K.
class	StereoMatcher The base class for stereo correspondence algorithms.
class	StereoSGBM The class implements the modified H.

Uses of Algorithm in org.opencv.core

Methods in org.opencv.core that return Algorithm

Modifier and Type	Method and Description
static Algorithm	Algorithm.__fromPtr__(long addr)

Uses of Algorithm in org.opencv.dnn

Subclasses of Algorithm in org.opencv.dnn

Modifier and Type	Class and Description
class	Layer This interface class allows to build new Layers - are building blocks of networks.

Uses of Algorithm in org.opencv.features2d

Subclasses of Algorithm in org.opencv.features2d

Modifier and Type	Class and Description
class	AgastFeatureDetector Wrapping class for feature detection using the AGAST method.
class	AKAZE Class implementing the AKAZE keypoint detector and descriptor extractor, described in CITE: ANB13.
class	BFMatcher Brute-force descriptor matcher.
class	BRISK Class implementing the BRISK keypoint detector and descriptor extractor, described in CITE: LCS11 .
class	DescriptorMatcher Abstract base class for matching keypoint descriptors.
class	FastFeatureDetector Wrapping class for feature detection using the FAST method.
class	Feature2D Abstract base class for 2D image feature detectors and descriptor extractors
class	FlannBasedMatcher Flann-based descriptor matcher.
class	GFTTDetector Wrapping class for feature detection using the goodFeaturesToTrack function.
class	KAZE Class implementing the KAZE keypoint detector and descriptor extractor, described in CITE: ABD12 .
class	MSER Maximally stable extremal region extractor The class encapsulates all the parameters of the %MSER extraction algorithm (see [wiki article](http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions)).
class	ORB Class implementing the ORB (*oriented BRIEF*) keypoint detector and descriptor extractor described in CITE: RRKB11 .
class	SimpleBlobDetector Class for extracting blobs from an image.

Uses of Algorithm in org.opencv.imgproc

Subclasses of Algorithm in org.opencv.imgproc

Modifier and Type	Class and Description
class	CLAHE Base class for Contrast Limited Adaptive Histogram Equalization.
class	GeneralizedHough finds arbitrary template in the grayscale image using Generalized Hough Transform
class	GeneralizedHoughBallard finds arbitrary template in the grayscale image using Generalized Hough Transform Detects position only without translation and rotation CITE: Ballard1981 .
class	GeneralizedHoughGuil finds arbitrary template in the grayscale image using Generalized Hough Transform Detects position, translation and rotation CITE: Guil1999 .
class	LineSegmentDetector Line segment detector class following the algorithm described at CITE: Rafael12 .

Uses of Algorithm in org.opencv.ml

Subclasses of Algorithm in org.opencv.ml

Modifier and Type	Class and Description
class	ANN_MLP Artificial Neural Networks - Multi-Layer Perceptrons.
class	Boost Boosted tree classifier derived from DTrees SEE: REF: ml_intro_boost
class	DTrees The class represents a single decision tree or a collection of decision trees.
class	EM The class implements the Expectation Maximization algorithm.
class	KNearest The class implements K-Nearest Neighbors model SEE: REF: ml_intro_knn
class	LogisticRegression Implements Logistic Regression classifier.
class	NormalBayesClassifier Bayes classifier for normally distributed data.
class	RTrees The class implements the random forest predictor.
class	StatModel Base class for statistical models in OpenCV ML.
class	SVM Support Vector Machines.
class	SVMSGD *************************************************************************************\ Stochastic Gradient Descent SVM Classifier * \***************************************************************************************

Uses of Algorithm in org.opencv.objdetect

Subclasses of Algorithm in org.opencv.objdetect

Modifier and Type	Class and Description
class	BaseCascadeClassifier

Uses of Algorithm in org.opencv.photo

Subclasses of Algorithm in org.opencv.photo

Modifier and Type	Class and Description
class	AlignExposures The base class for algorithms that align images of the same scene with different exposures
class	AlignMTB This algorithm converts images to median threshold bitmaps (1 for pixels brighter than median luminance and 0 otherwise) and than aligns the resulting bitmaps using bit operations.
class	CalibrateCRF The base class for camera response calibration algorithms.
class	CalibrateDebevec Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system.
class	CalibrateRobertson Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system.
class	MergeDebevec The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response.
class	MergeExposures The base class algorithms that can merge exposure sequence to a single image.
class	MergeMertens Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids.
class	MergeRobertson The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response.
class	Tonemap Base class for tonemapping algorithms - tools that are used to map HDR image to 8-bit range.
class	TonemapDrago Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain.
class	TonemapMantiuk This algorithm transforms image to contrast using gradients on all levels of gaussian pyramid, transforms contrast values to HVS response and scales the response.
class	TonemapReinhard This is a global tonemapping operator that models human visual system.

Uses of Algorithm in org.opencv.video

Subclasses of Algorithm in org.opencv.video

Modifier and Type	Class and Description
class	BackgroundSubtractor Base class for background/foreground segmentation.
class	BackgroundSubtractorKNN K-nearest neighbours - based Background/Foreground Segmentation Algorithm.
class	BackgroundSubtractorMOG2 Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
class	DenseOpticalFlow Base class for dense optical flow algorithms
class	DISOpticalFlow DIS optical flow algorithm.
class	FarnebackOpticalFlow Class computing a dense optical flow using the Gunnar Farneback's algorithm.
class	SparseOpticalFlow Base interface for sparse optical flow algorithms.
class	SparsePyrLKOpticalFlow Class used for calculating a sparse optical flow.
class	VariationalRefinement Variational optical flow refinement This class implements variational refinement of the input flow field, i.e.