opencv::imgproc

Trait LineSegmentDetectorTrait

Source 
pub trait LineSegmentDetectorTrait: AlgorithmTrait + LineSegmentDetectorTraitConst {
    // Required method
    fn as_raw_mut_LineSegmentDetector(&mut self) -> *mut c_void;

    // Provided methods
    fn detect(
        &mut self,
        image: &impl ToInputArray,
        lines: &mut impl ToOutputArray,
        width: &mut impl ToOutputArray,
        prec: &mut impl ToOutputArray,
        nfa: &mut impl ToOutputArray,
    ) -> Result<()> { ... }
    fn detect_def(
        &mut self,
        image: &impl ToInputArray,
        lines: &mut impl ToOutputArray,
    ) -> Result<()> { ... }
    fn draw_segments(
        &mut self,
        image: &mut impl ToInputOutputArray,
        lines: &impl ToInputArray,
    ) -> Result<()> { ... }
    fn compare_segments(
        &mut self,
        size: Size,
        lines1: &impl ToInputArray,
        lines2: &impl ToInputArray,
        image: &mut impl ToInputOutputArray,
    ) -> Result<i32> { ... }
    fn compare_segments_def(
        &mut self,
        size: Size,
        lines1: &impl ToInputArray,
        lines2: &impl ToInputArray,
    ) -> Result<i32> { ... }
}
Expand description

Mutable methods for crate::imgproc::LineSegmentDetector

Required Methods§

Source

fn as_raw_mut_LineSegmentDetector(&mut self) -> *mut c_void

Provided Methods§

Source

fn detect( &mut self, image: &impl ToInputArray, lines: &mut impl ToOutputArray, width: &mut impl ToOutputArray, prec: &mut impl ToOutputArray, nfa: &mut impl ToOutputArray, ) -> Result<()>

Finds lines in the input image.

This is the output of the default parameters of the algorithm on the above shown image.

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()
Source

fn detect_def( &mut self, image: &impl ToInputArray, lines: &mut impl ToOutputArray, ) -> Result<()>

Finds lines in the input image.

This is the output of the default parameters of the algorithm on the above shown image.

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.
§Note

This alternative version of LineSegmentDetectorTrait::detect function uses the following default values for its arguments:

  • width: noArray()
  • prec: noArray()
  • nfa: noArray()
Source

fn draw_segments( &mut self, image: &mut impl ToInputOutputArray, lines: &impl 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.
Source

fn compare_segments( &mut self, size: Size, lines1: &impl ToInputArray, lines2: &impl ToInputArray, image: &mut impl 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()
Source

fn compare_segments_def( &mut self, size: Size, lines1: &impl ToInputArray, lines2: &impl ToInputArray, ) -> 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.
§Note

This alternative version of LineSegmentDetectorTrait::compare_segments function uses the following default values for its arguments:

  • image: noArray()

Dyn Compatibility§

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementors§