# enum cv::HoughModes

## Overview

Variants of a Hough transform. More…

#include <imgproc.hpp>

enum HoughModes
{
HOUGH_STANDARD      = 0,
HOUGH_PROBABILISTIC = 1,
HOUGH_MULTI_SCALE   = 2,
};


## Detailed Documentation

Variants of a Hough transform.

### Enum Values

HOUGH_STANDARD


classical or standard Hough transform. Every line is represented by two floating-point numbers $$(\rho, \theta)$$, where $$\rho$$ is a distance between (0,0) point and the line, and $$\theta$$ 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 [94]