java.lang.Object
org.opencv.core.Algorithm
- Direct Known Subclasses:
CLAHE,GeneralizedHough,ImgHashBase,LineSegmentDetector
This is a base class for all more or less complex algorithms in OpenCV
especially for classes of algorithms, for which there can be multiple implementations. The examples are stereo
correspondence (for which there are algorithms like block matching, semi-global block matching, graph-cut etc.),
background subtraction (which can be done using mixture-of-gaussians models, codebook-based algorithm etc.), optical
flow (block matching, Lucas-Kanade, Horn-Schunck etc.).
Here is example of SimpleBlobDetector use in your application via Algorithm interface: SNIPPET:
snippets/core_various.cpp Algorithm
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Field Summary
Fields -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic Algorithm__fromPtr__(long addr) voidclear()Clears the algorithm statebooleanempty()Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful readReturns the algorithm string identifier.longvoidSaves the algorithm to a file.
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Field Details
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nativeObj
protected final long nativeObj
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Constructor Details
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Algorithm
protected Algorithm(long addr)
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Method Details
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__fromPtr__
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getNativeObjAddr
public long getNativeObjAddr() -
clear
public void clear()Clears the algorithm state -
empty
public boolean empty()Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read- Returns:
- automatically generated
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save
Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).- Parameters:
filename- automatically generated
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getDefaultName
Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.- Returns:
- automatically generated
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