| OpenCV 3.4.8 Open Source Computer Vision

Public Member Functions | Public Attributes | List of all members
cv::stereo::MVKernel< num_images > Struct Template Reference

`#include <opencv2/stereo/descriptor.hpp>`

## Public Member Functions
| MVKernel ()
| MVKernel (uint8_t **images, int **integral)
void | operator() (int rrWidth, int w2, int rWidth, int jj, int j, int c[num_images]) const

## Public Attributes
uint8_t * | image [num_images]
int * | integralImage [num_images]
int | stop

## Detailed Description

### template<int num_images>
struct cv::stereo::MVKernel< num_images >

Mean Variation is a robust kernel that compares a pixel not just with the center but also with the mean of the window

## Constructor & Destructor Documentation

## § MVKernel() [1/2]

template<int num_images>

cv::stereo::MVKernel< num_images >::MVKernel | ( |  | ) |
| inline

## § MVKernel() [2/2]

template<int num_images>

cv::stereo::MVKernel< num_images >::MVKernel | ( | uint8_t ** | images,
|  | int ** | integral
| ) |  |
| inline

## Member Function Documentation

## § operator()()

template<int num_images>

void cv::stereo::MVKernel< num_images >::operator() | ( | int | rrWidth,
|  | int | w2,
|  | int | rWidth,
|  | int | jj,
|  | int | j,
|  | int | c[num_images]
| ) |  | const
| inline

## Member Data Documentation

## § image

template<int num_images>

uint8_t* cv::stereo::MVKernel< num_images >::image[num_images]

## § integralImage

template<int num_images>

int* cv::stereo::MVKernel< num_images >::integralImage[num_images]

## § stop

template<int num_images>

int cv::stereo::MVKernel< num_images >::stop

The documentation for this struct was generated from the following file:

- opencv2/stereo/descriptor.hpp