Class implementing edge detection algorithm from [70] :
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#include <opencv2/ximgproc/structured_edge_detection.hpp>
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virtual void | computeOrientation (cv::InputArray src, cv::OutputArray dst) const =0 |
| The function computes orientation from edge image.
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virtual void | detectEdges (cv::InputArray src, cv::OutputArray dst) const =0 |
| The function detects edges in src and draw them to dst.
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virtual void | edgesNms (cv::InputArray edge_image, cv::InputArray orientation_image, cv::OutputArray dst, int r=2, int s=0, float m=1, bool isParallel=true) const =0 |
| The function edgenms in edge image and suppress edges where edge is stronger in orthogonal direction.
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| Algorithm () |
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virtual | ~Algorithm () |
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virtual void | clear () |
| Clears the algorithm state.
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virtual bool | empty () const |
| Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
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virtual String | getDefaultName () const |
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virtual void | read (const FileNode &fn) |
| Reads algorithm parameters from a file storage.
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virtual void | save (const String &filename) const |
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void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
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virtual void | write (FileStorage &fs) const |
| Stores algorithm parameters in a file storage.
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void | write (FileStorage &fs, const String &name) const |
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Class implementing edge detection algorithm from [70] :
◆ computeOrientation()
Python: |
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| cv.ximgproc.StructuredEdgeDetection.computeOrientation( | src[, dst] | ) -> | dst |
The function computes orientation from edge image.
- Parameters
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src | edge image. |
dst | orientation image. |
◆ detectEdges()
Python: |
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| cv.ximgproc.StructuredEdgeDetection.detectEdges( | src[, dst] | ) -> | dst |
The function detects edges in src and draw them to dst.
The algorithm underlies this function is much more robust to texture presence, than common approaches, e.g. Sobel
- Parameters
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src | source image (RGB, float, in [0;1]) to detect edges |
dst | destination image (grayscale, float, in [0;1]) where edges are drawn |
- See also
- Sobel, Canny
◆ edgesNms()
Python: |
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| cv.ximgproc.StructuredEdgeDetection.edgesNms( | edge_image, orientation_image[, dst[, r[, s[, m[, isParallel]]]]] | ) -> | dst |
The function edgenms in edge image and suppress edges where edge is stronger in orthogonal direction.
- Parameters
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edge_image | edge image from detectEdges function. |
orientation_image | orientation image from computeOrientation function. |
dst | suppressed image (grayscale, float, in [0;1]) |
r | radius for NMS suppression. |
s | radius for boundary suppression. |
m | multiplier for conservative suppression. |
isParallel | enables/disables parallel computing. |
The documentation for this class was generated from the following file: