org.opencv.imgproc

## Class LineSegmentDetector

- java.lang.Object
- - org.opencv.core.Algorithm
  - - org.opencv.imgproc.LineSegmentDetector

-     public class LineSegmentDetector
      extends Algorithm

  Line segment detector class following the algorithm described at CITE: Rafael12 . Note: Implementation has been removed due original code license conflict

- - ### Field Summary

    - ### Fields inherited from class org.opencv.core.Algorithm

      `nativeObj`

  - ### Constructor Summary

    Constructors
    Modifier | Constructor and Description
    --- | ---
    `protected` | `LineSegmentDetector(long addr)`

  - ### Method Summary

    All Methods Static Methods Instance Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `static LineSegmentDetector` | `__fromPtr__(long addr)`
    `int` | `compareSegments(Size size, Mat lines1, Mat lines2)` Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.
    `int` | `compareSegments(Size size, Mat lines1, Mat lines2, Mat _image)` Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.
    `void` | `detect(Mat _image, Mat _lines)` Finds lines in the input image.
    `void` | `detect(Mat _image, Mat _lines, Mat width)` Finds lines in the input image.
    `void` | `detect(Mat _image, Mat _lines, Mat width, Mat prec)` Finds lines in the input image.
    `void` | `detect(Mat _image, Mat _lines, Mat width, Mat prec, Mat nfa)` Finds lines in the input image.
    `void` | `drawSegments(Mat _image, Mat lines)` Draws the line segments on a given image.
    `protected void` | `finalize()`

    - ### Methods inherited from class org.opencv.core.Algorithm

      `clear, empty, getDefaultName, getNativeObjAddr, save`

    - ### Methods inherited from class java.lang.Object

      `clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Constructor Detail

    - #### LineSegmentDetector

          protected LineSegmentDetector(long addr)

  - ### Method Detail

    - #### __fromPtr__

          public static LineSegmentDetector __fromPtr__(long addr)

    - #### compareSegments

          public int compareSegments(Size size,
                                     Mat lines1,
                                     Mat lines2,
                                     Mat _image)

      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.
      Returns:
        automatically generated

    - #### compareSegments

          public int compareSegments(Size size,
                                     Mat lines1,
                                     Mat lines2)

      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. in order for lines1 and lines2 to be drawn in the above mentioned colors.
      Returns:
        automatically generated

    - #### detect

          public void detect(Mat _image,
                             Mat _lines,
                             Mat width,
                             Mat prec,
                             Mat nfa)

      Finds lines in the input image. This is the output of the default parameters of the algorithm on the above shown image. ![image](pics/building_lsd.png)
      Parameters:
        `_image` - A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: `lsd_ptr-&gt;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.

    - #### detect

          public void detect(Mat _image,
                             Mat _lines,
                             Mat width,
                             Mat prec)

      Finds lines in the input image. This is the output of the default parameters of the algorithm on the above shown image. ![image](pics/building_lsd.png)
      Parameters:
        `_image` - A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: `lsd_ptr-&gt;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. 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.

    - #### detect

          public void detect(Mat _image,
                             Mat _lines,
                             Mat width)

      Finds lines in the input image. This is the output of the default parameters of the algorithm on the above shown image. ![image](pics/building_lsd.png)
      Parameters:
        `_image` - A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: `lsd_ptr-&gt;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. 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.

    - #### detect

          public void detect(Mat _image,
                             Mat _lines)

      Finds lines in the input image. This is the output of the default parameters of the algorithm on the above shown image. ![image](pics/building_lsd.png)
      Parameters:
        `_image` - A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: `lsd_ptr-&gt;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. 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.

    - #### drawSegments

          public void drawSegments(Mat _image,
                                   Mat lines)

      Draws the line segments on a given image.
      Parameters:
        `_image` - The image, where the lines 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.

    - #### finalize

          protected void finalize()
                           throws Throwable

      Overrides:
        `finalize` in class `Algorithm`
      Throws:
        `Throwable`

Generated on Thu Jul 25 2019 21:39:44 UTC / OpenCV 3.4.7