Trait opencv::prelude::LineSegmentDetector
source · [−]pub trait LineSegmentDetector: AlgorithmTrait + LineSegmentDetectorConst {
fn as_raw_mut_LineSegmentDetector(&mut self) -> *mut c_void;
fn detect(
&mut self,
image: &dyn ToInputArray,
lines: &mut dyn ToOutputArray,
width: &mut dyn ToOutputArray,
prec: &mut dyn ToOutputArray,
nfa: &mut dyn ToOutputArray
) -> Result<()> { ... }
fn draw_segments(
&mut self,
image: &mut dyn ToInputOutputArray,
lines: &dyn ToInputArray
) -> Result<()> { ... }
fn compare_segments(
&mut self,
size: Size,
lines1: &dyn ToInputArray,
lines2: &dyn ToInputArray,
image: &mut dyn ToInputOutputArray
) -> Result<i32> { ... }
}
Required Methods
fn as_raw_mut_LineSegmentDetector(&mut self) -> *mut c_void
Provided Methods
sourcefn detect(
&mut self,
image: &dyn ToInputArray,
lines: &mut dyn ToOutputArray,
width: &mut dyn ToOutputArray,
prec: &mut dyn ToOutputArray,
nfa: &mut dyn ToOutputArray
) -> Result<()>
fn detect(
&mut self,
image: &dyn ToInputArray,
lines: &mut dyn ToOutputArray,
width: &mut dyn ToOutputArray,
prec: &mut dyn ToOutputArray,
nfa: &mut dyn ToOutputArray
) -> Result<()>
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 Vec4f elements specifying the beginning and ending point of a line. Where 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.
C++ default parameters
- width: noArray()
- prec: noArray()
- nfa: noArray()
sourcefn draw_segments(
&mut self,
image: &mut dyn ToInputOutputArray,
lines: &dyn ToInputArray
) -> Result<()>
fn draw_segments(
&mut self,
image: &mut dyn ToInputOutputArray,
lines: &dyn ToInputArray
) -> Result<()>
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.
sourcefn compare_segments(
&mut self,
size: Size,
lines1: &dyn ToInputArray,
lines2: &dyn ToInputArray,
image: &mut dyn ToInputOutputArray
) -> Result<i32>
fn compare_segments(
&mut self,
size: Size,
lines1: &dyn ToInputArray,
lines2: &dyn ToInputArray,
image: &mut dyn ToInputOutputArray
) -> Result<i32>
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.
C++ default parameters
- image: noArray()