Joe Verbout
opencv on mbed
LineSegmentDetector Class Reference
[Feature Detection]
Line segment detector class. More...
#include <imgproc.hpp>
Inherits cv::Algorithm.
Public Member Functions | |
| virtual CV_WRAP void | detect (InputArray _image, OutputArray _lines, OutputArray width=noArray(), OutputArray prec=noArray(), OutputArray nfa=noArray())=0 |
| Finds lines in the input image. | |
| virtual CV_WRAP void | drawSegments (InputOutputArray _image, InputArray lines)=0 |
| Draws the line segments on a given image. | |
| virtual CV_WRAP int | compareSegments (const Size &size, InputArray lines1, InputArray lines2, InputOutputArray _image=noArray())=0 |
| Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels. | |
| virtual CV_WRAP void | clear () |
| Clears the algorithm state. | |
| virtual void | write (FileStorage &fs) const |
| Stores algorithm parameters in a file storage. | |
| virtual void | read (const FileNode &fn) |
| Reads algorithm parameters from a file storage. | |
| virtual bool | empty () const |
| Returns true if the Algorithm is empty (e.g. | |
| virtual CV_WRAP void | save (const String &filename) const |
| Saves the algorithm to a file. | |
| virtual CV_WRAP String | getDefaultName () const |
| Returns the algorithm string identifier. | |
Static Public Member Functions | |
| template<typename _Tp > | |
| static Ptr< _Tp > | read (const FileNode &fn) |
| Reads algorithm from the file node. | |
| template<typename _Tp > | |
| static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
| Loads algorithm from the file. | |
| template<typename _Tp > | |
| static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
| Loads algorithm from a String. | |
Detailed Description
Line segment detector class.
following the algorithm described at Rafael12 .
Definition at line 978 of file imgproc.hpp.
Member Function Documentation
| virtual CV_WRAP void clear | ( | ) | [virtual, inherited] |
Clears the algorithm state.
Reimplemented in DescriptorMatcher, and FlannBasedMatcher.
| virtual CV_WRAP int compareSegments | ( | const Size & | size, |
| InputArray | lines1, | ||
| InputArray | lines2, | ||
| InputOutputArray | _image = noArray() |
||
| ) | [pure virtual] |
Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.
- Parameters:
-
size The size of the image, where lines1 and lines2 were found. lines1 The first group of lines that needs to be drawn. It is visualized in blue color. lines2 The second group of lines. They visualized in red color. _image Optional image, where the lines will be drawn. The image should be color(3-channel) in order for lines1 and lines2 to be drawn in the above mentioned colors.
| virtual CV_WRAP void detect | ( | InputArray | _image, |
| OutputArray | _lines, | ||
| OutputArray | width = noArray(), |
||
| OutputArray | prec = noArray(), |
||
| OutputArray | nfa = noArray() |
||
| ) | [pure virtual] |
Finds lines in the input image.
This is the output of the default parameters of the algorithm on the above shown image.
- Parameters:
-
_image A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: `lsd_ptr->detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);` _lines A vector of Vec4i or Vec4f elements specifying the beginning and ending point of a line. Where Vec4i/Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly oriented depending on the gradient. width Vector of widths of the regions, where the lines are found. E.g. Width of line. prec Vector of precisions with which the lines are found. nfa Vector containing number of false alarms in the line region, with precision of 10%. The bigger the value, logarithmically better the detection. - -1 corresponds to 10 mean false alarms
- 0 corresponds to 1 mean false alarm
- 1 corresponds to 0.1 mean false alarms This vector will be calculated only when the objects type is LSD_REFINE_ADV.
| virtual CV_WRAP void drawSegments | ( | InputOutputArray | _image, |
| InputArray | lines | ||
| ) | [pure virtual] |
Draws the line segments on a given image.
- Parameters:
-
_image The image, where the liens will be drawn. Should be bigger or equal to the image, where the lines were found. lines A vector of the lines that needed to be drawn.
| virtual bool empty | ( | ) | const [virtual, inherited] |
| virtual CV_WRAP String getDefaultName | ( | ) | const [virtual, inherited] |
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.
| static Ptr<_Tp> load | ( | const String & | filename, |
| const String & | objname = String() |
||
| ) | [static, inherited] |
Loads algorithm from the file.
- Parameters:
-
filename Name of the file to read. objname The optional name of the node to read (if empty, the first top-level node will be used)
This is static template method of Algorithm. It's usage is following (in the case of SVM):
Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");
In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).
| static Ptr<_Tp> loadFromString | ( | const String & | strModel, |
| const String & | objname = String() |
||
| ) | [static, inherited] |
Loads algorithm from a String.
- Parameters:
-
strModel The string variable containing the model you want to load. objname The optional name of the node to read (if empty, the first top-level node will be used)
This is static template method of Algorithm. It's usage is following (in the case of SVM):
Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);
| virtual void read | ( | const FileNode & | fn ) | [virtual, inherited] |
Reads algorithm parameters from a file storage.
Reimplemented in DescriptorMatcher, and FlannBasedMatcher.
Reads algorithm from the file node.
This is static template method of Algorithm. It's usage is following (in the case of SVM):
Ptr<SVM> svm = Algorithm::read<SVM>(fn);
In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn) and also have static create() method without parameters (or with all the optional parameters)
Reimplemented in DescriptorMatcher, and FlannBasedMatcher.
| virtual CV_WRAP void save | ( | const String & | filename ) | const [virtual, inherited] |
Saves the algorithm to a file.
In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).
| virtual void write | ( | FileStorage & | fs ) | const [virtual, inherited] |
Stores algorithm parameters in a file storage.
Reimplemented in DescriptorMatcher, and FlannBasedMatcher.
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