Fuzzy image processing

Detailed Description

Image proceesing based on fuzzy mathematics namely F-transform.

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

Function Documentation

createKernel() [1/2]

void cv::ft::createKernel	(	InputArray	A,
		InputArray	B,
		OutputArray	kernel,
		const int	chn
	)

Python:
	cv.ft.createKernel(	function, radius, chn[, kernel]	) ->	kernel
	cv.ft.createKernel1(	A, B, chn[, kernel]	) ->	kernel

#include <opencv2/fuzzy/fuzzy_image.hpp>

Creates kernel from basic functions.

Parameters

A	Basic function used in axis x.
B	Basic function used in axis y.
kernel	Final 32-bit kernel derived from A and B.
chn	Number 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:
	cv.ft.createKernel(	function, radius, chn[, kernel]	) ->	kernel
	cv.ft.createKernel1(	A, B, chn[, kernel]	) ->	kernel

#include <opencv2/fuzzy/fuzzy_image.hpp>

Creates kernel from general functions.

Parameters

function	Function type could be one of the following: LINEAR Linear basic function.
radius	Radius of the basic function.
kernel	Final 32-bit kernel.
chn	Number of kernel channels.

The function creates kernel from predefined functions.

filter()

void cv::ft::filter	(	InputArray	image,
		InputArray	kernel,
		OutputArray	output
	)

Python:
	cv.ft.filter(	image, kernel[, output]	) ->	output

#include <opencv2/fuzzy/fuzzy_image.hpp>

Image filtering.

Parameters

image	Input image.
kernel	Final 32-bit kernel.
output	Output 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:
	cv.ft.inpaint(	image, mask, radius, function, algorithm[, output]	) ->	output

#include <opencv2/fuzzy/fuzzy_image.hpp>

Image inpainting.

Parameters

image	Input image.
mask	Mask used for unwanted area marking.
output	Output 32-bit image.
radius	Radius of the basic function.
function	Function type could be one of the following: ft::LINEAR Linear basic function.
algorithm	Algorithm 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 [216].