@Namespace(value="cv") public static class opencv_imgproc.LineSegmentDetector extends opencv_core.Algorithm
following the algorithm described at \cite Rafael12 .
| Constructor and Description |
|---|
LineSegmentDetector(org.bytedeco.javacpp.Pointer p)
Pointer cast constructor.
|
clear, empty, getDefaultName, position, read, save, save, write, write, writeaddress, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic LineSegmentDetector(org.bytedeco.javacpp.Pointer p)
Pointer.Pointer(Pointer).public void detect(@ByVal
opencv_core.Mat _image,
@ByVal
opencv_core.Mat _lines,
@ByVal(nullValue="cv::OutputArray(cv::noArray())")
opencv_core.Mat width,
@ByVal(nullValue="cv::OutputArray(cv::noArray())")
opencv_core.Mat prec,
@ByVal(nullValue="cv::OutputArray(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 detect(@ByVal
opencv_core.UMat _image,
@ByVal
opencv_core.UMat _lines,
@ByVal(nullValue="cv::OutputArray(cv::noArray())")
opencv_core.UMat width,
@ByVal(nullValue="cv::OutputArray(cv::noArray())")
opencv_core.UMat prec,
@ByVal(nullValue="cv::OutputArray(cv::noArray())")
opencv_core.UMat nfa)
public void detect(@ByVal
opencv_core.UMat _image,
@ByVal
opencv_core.UMat _lines)
public void detect(@ByVal
opencv_core.GpuMat _image,
@ByVal
opencv_core.GpuMat _lines,
@ByVal(nullValue="cv::OutputArray(cv::noArray())")
opencv_core.GpuMat width,
@ByVal(nullValue="cv::OutputArray(cv::noArray())")
opencv_core.GpuMat prec,
@ByVal(nullValue="cv::OutputArray(cv::noArray())")
opencv_core.GpuMat nfa)
public void detect(@ByVal
opencv_core.GpuMat _image,
@ByVal
opencv_core.GpuMat _lines)
public void drawSegments(@ByVal
opencv_core.Mat _image,
@ByVal
opencv_core.Mat lines)
_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.public void drawSegments(@ByVal
opencv_core.UMat _image,
@ByVal
opencv_core.UMat lines)
public void drawSegments(@ByVal
opencv_core.GpuMat _image,
@ByVal
opencv_core.GpuMat lines)
public int compareSegments(@Const @ByRef
opencv_core.Size size,
@ByVal
opencv_core.Mat lines1,
@ByVal
opencv_core.Mat lines2,
@ByVal(nullValue="cv::InputOutputArray(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)
public int compareSegments(@Const @ByRef
opencv_core.Size size,
@ByVal
opencv_core.UMat lines1,
@ByVal
opencv_core.UMat lines2,
@ByVal(nullValue="cv::InputOutputArray(cv::noArray())")
opencv_core.UMat _image)
public int compareSegments(@Const @ByRef
opencv_core.Size size,
@ByVal
opencv_core.UMat lines1,
@ByVal
opencv_core.UMat lines2)
public int compareSegments(@Const @ByRef
opencv_core.Size size,
@ByVal
opencv_core.GpuMat lines1,
@ByVal
opencv_core.GpuMat lines2,
@ByVal(nullValue="cv::InputOutputArray(cv::noArray())")
opencv_core.GpuMat _image)
public int compareSegments(@Const @ByRef
opencv_core.Size size,
@ByVal
opencv_core.GpuMat lines1,
@ByVal
opencv_core.GpuMat lines2)
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