OpenCV  4.4.0-dev
Open Source Computer Vision
Functions

Functions

void cv::ft::createKernel (InputArray A, InputArray B, OutputArray kernel, const int chn)
 Creates kernel from basic functions. More...
 
void cv::ft::createKernel (int function, int radius, OutputArray kernel, const int chn)
 Creates kernel from general functions. More...
 
void cv::ft::filter (InputArray image, InputArray kernel, OutputArray output)
 Image filtering. More...
 
void cv::ft::inpaint (InputArray image, InputArray mask, OutputArray output, int radius, int function, int algorithm)
 Image inpainting. More...
 

Detailed Description

Image proceesing based on fuzzy mathematics namely F-transform.

Function Documentation

◆ createKernel() [1/2]

void cv::ft::createKernel ( InputArray  A,
InputArray  B,
OutputArray  kernel,
const int  chn 
)
Python:
kernel=cv.ft.createKernel(function, radius, chn[, kernel])
kernel=cv.ft.createKernel1(A, B, chn[, kernel])

#include <opencv2/fuzzy/fuzzy_image.hpp>

Creates kernel from basic functions.

Parameters
ABasic function used in axis x.
BBasic function used in axis y.
kernelFinal 32-bit kernel derived from A and B.
chnNumber of kernel channels.

The function creates kernel usable for latter fuzzy image processing.

◆ createKernel() [2/2]

void cv::ft::createKernel ( int  function,
int  radius,
OutputArray  kernel,
const int  chn 
)
Python:
kernel=cv.ft.createKernel(function, radius, chn[, kernel])
kernel=cv.ft.createKernel1(A, B, chn[, kernel])

#include <opencv2/fuzzy/fuzzy_image.hpp>

Creates kernel from general functions.

Parameters
functionFunction type could be one of the following:
  • LINEAR Linear basic function.
radiusRadius of the basic function.
kernelFinal 32-bit kernel.
chnNumber of kernel channels.

The function creates kernel from predefined functions.

◆ filter()

void cv::ft::filter ( InputArray  image,
InputArray  kernel,
OutputArray  output 
)
Python:
output=cv.ft.filter(image, kernel[, output])

#include <opencv2/fuzzy/fuzzy_image.hpp>

Image filtering.

Parameters
imageInput image.
kernelFinal 32-bit kernel.
outputOutput 32-bit image.

Filtering of the input image by means of F-transform.

◆ inpaint()

void cv::ft::inpaint ( InputArray  image,
InputArray  mask,
OutputArray  output,
int  radius,
int  function,
int  algorithm 
)
Python:
output=cv.ft.inpaint(image, mask, radius, function, algorithm[, output])

#include <opencv2/fuzzy/fuzzy_image.hpp>

Image inpainting.

Parameters
imageInput image.
maskMask used for unwanted area marking.
outputOutput 32-bit image.
radiusRadius of the basic function.
functionFunction type could be one of the following:
algorithmAlgorithm could be one of the following:
  • ft::ONE_STEP One step algorithm.
  • ft::MULTI_STEP This algorithm automaticaly increases radius of the basic function.
  • ft::ITERATIVE Iterative algorithm running in more steps using partial computations.

This function provides inpainting technique based on the fuzzy mathematic.

Note
The algorithms are described in paper [184].