Enum opencv::imgproc::HoughModes

#[repr(C)]pub enum HoughModes {
    HOUGH_STANDARD,
    HOUGH_PROBABILISTIC,
    HOUGH_MULTI_SCALE,
    HOUGH_GRADIENT,
    HOUGH_GRADIENT_ALT,
}

Variants of a Hough transform

Variants

HOUGH_STANDARD

classical or standard Hough transform. Every line is represented by two floating-point numbers , where is a distance between (0,0) point and the line, and is the angle between x-axis and the normal to the line. Thus, the matrix must be (the created sequence will be) of CV_32FC2 type

HOUGH_PROBABILISTIC

probabilistic Hough transform (more efficient in case if the picture contains a few long linear segments). It returns line segments rather than the whole line. Each segment is represented by starting and ending points, and the matrix must be (the created sequence will be) of the CV_32SC4 type.

HOUGH_MULTI_SCALE

multi-scale variant of the classical Hough transform. The lines are encoded the same way as HOUGH_STANDARD.

HOUGH_GRADIENT

basically 21HT, described in Yuen90

HOUGH_GRADIENT_ALT

variation of HOUGH_GRADIENT to get better accuracy

Trait Implementations

impl Clone for HoughModes

pub fn clone(&self) -> HoughModes

Returns a copy of the value.

pub fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for HoughModes

impl Debug for HoughModes

pub fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<HoughModes> for HoughModes

pub fn eq(&self, other: &HoughModes) -> bool

This method tests for self and other values to be equal, and is used by ==.

#[must_use]pub fn ne(&self, other: &Rhs) -> bool

This method tests for !=.

impl StructuralPartialEq for HoughModes