@Namespace(value="cv") public static class opencv_imgproc.LineSegmentDetector extends opencv_core.Algorithm
following the algorithm described at \cite Rafael12 .
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
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opencv_imgproc.LineSegmentDetector(Pointer p)
Pointer cast constructor.
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| Modifier and Type | Method and Description |
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int |
compareSegments(opencv_core.Size size,
opencv_core.Mat lines1,
opencv_core.Mat lines2) |
int |
compareSegments(opencv_core.Size size,
opencv_core.Mat lines1,
opencv_core.Mat lines2,
opencv_core.Mat _image)
\brief Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.
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void |
detect(opencv_core.Mat _image,
opencv_core.Mat _lines) |
void |
detect(opencv_core.Mat _image,
opencv_core.Mat _lines,
opencv_core.Mat width,
opencv_core.Mat prec,
opencv_core.Mat nfa)
\brief Finds lines in the input image.
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void |
drawSegments(opencv_core.Mat _image,
opencv_core.Mat lines)
\brief Draws the line segments on a given image.
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clear, empty, getDefaultName, position, read, save, save, writeaddress, asBuffer, asByteBuffer, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, hashCode, isNull, limit, limit, maxBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, position, put, setNull, sizeof, toString, totalBytes, withDeallocator, zeropublic opencv_imgproc.LineSegmentDetector(Pointer p)
Pointer.Pointer(Pointer).public void detect(@ByVal opencv_core.Mat _image, @ByVal opencv_core.Mat _lines, @ByVal(nullValue="cv::noArray()") opencv_core.Mat width, @ByVal(nullValue="cv::noArray()") opencv_core.Mat prec, @ByVal(nullValue="cv::noArray()") opencv_core.Mat nfa)
This is the output of the default parameters of the algorithm on the above shown image.

_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.public void detect(@ByVal opencv_core.Mat _image, @ByVal opencv_core.Mat _lines)
public void drawSegments(@ByVal opencv_core.Mat _image, @ByVal opencv_core.Mat lines)
_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.public int compareSegments(@Const@ByRef opencv_core.Size size, @ByVal opencv_core.Mat lines1, @ByVal opencv_core.Mat lines2, @ByVal(nullValue="cv::noArray()") opencv_core.Mat _image)
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.public int compareSegments(@Const@ByRef opencv_core.Size size, @ByVal opencv_core.Mat lines1, @ByVal opencv_core.Mat lines2)
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