Functions | |
void | cv::ft::FT02D_components (InputArray matrix, InputArray kernel, OutputArray components, InputArray mask=noArray()) |
Computes components of the array using direct \(F^0\)-transform. | |
void | cv::ft::FT02D_FL_process (InputArray matrix, const int radius, OutputArray output) |
Sligtly less accurate version of \(F^0\)-transfrom computation optimized for higher speed. The methods counts with linear basic function. | |
void | cv::ft::FT02D_FL_process_float (InputArray matrix, const int radius, OutputArray output) |
Sligtly less accurate version of \(F^0\)-transfrom computation optimized for higher speed. The methods counts with linear basic function. | |
void | cv::ft::FT02D_inverseFT (InputArray components, InputArray kernel, OutputArray output, int width, int height) |
Computes inverse \(F^0\)-transfrom. | |
int | cv::ft::FT02D_iteration (InputArray matrix, InputArray kernel, OutputArray output, InputArray mask, OutputArray maskOutput, bool firstStop) |
Computes \(F^0\)-transfrom and inverse \(F^0\)-transfrom at once and return state. | |
void | cv::ft::FT02D_process (InputArray matrix, InputArray kernel, OutputArray output, InputArray mask=noArray()) |
Computes \(F^0\)-transfrom and inverse \(F^0\)-transfrom at once. | |
Detailed Description
Fuzzy transform ( \(F^0\)-transform) of the 0th degree transforms whole image to a matrix of its components. These components are used in latter computation where each of them represents average color of certain subarea.
@defgroup f1_math Math with F1-transform support
Fuzzy transform ( \(F^1\)-transform) of the 1th degree transforms whole image to a matrix of its components. Each component is polynomial of the 1th degree carrying information about average color and average gradient of certain subarea.
@defgroup f_image Fuzzy image processing
Image proceesing based on fuzzy mathematics namely F-transform.
Function Documentation
◆ FT02D_components()
void cv::ft::FT02D_components | ( | InputArray | matrix, |
InputArray | kernel, | ||
OutputArray | components, | ||
InputArray | mask = noArray() |
||
) |
#include <opencv2/fuzzy/fuzzy_F0_math.hpp>
Computes components of the array using direct \(F^0\)-transform.
- Parameters
-
matrix Input array. kernel Kernel used for processing. Function ft::createKernel
can be used.components Output 32-bit float array for the components. mask Mask can be used for unwanted area marking.
The function computes components using predefined kernel and mask.
◆ FT02D_FL_process()
void cv::ft::FT02D_FL_process | ( | InputArray | matrix, |
const int | radius, | ||
OutputArray | output | ||
) |
#include <opencv2/fuzzy/fuzzy_F0_math.hpp>
Sligtly less accurate version of \(F^0\)-transfrom computation optimized for higher speed. The methods counts with linear basic function.
- Parameters
-
matrix Input 3 channels matrix. radius Radius of the ft::LINEAR
basic function.output Output array.
This function computes F-transfrom and inverse F-transfotm using linear basic function in one step. It is ~10 times faster than ft::FT02D_process
method.
◆ FT02D_FL_process_float()
void cv::ft::FT02D_FL_process_float | ( | InputArray | matrix, |
const int | radius, | ||
OutputArray | output | ||
) |
#include <opencv2/fuzzy/fuzzy_F0_math.hpp>
Sligtly less accurate version of \(F^0\)-transfrom computation optimized for higher speed. The methods counts with linear basic function.
- Parameters
-
matrix Input 3 channels matrix. radius Radius of the ft::LINEAR
basic function.output Output array.
This function computes F-transfrom and inverse F-transfotm using linear basic function in one step. It is ~9 times faster then ft::FT02D_process
method and more accurate than ft::FT02D_FL_process
method.
◆ FT02D_inverseFT()
void cv::ft::FT02D_inverseFT | ( | InputArray | components, |
InputArray | kernel, | ||
OutputArray | output, | ||
int | width, | ||
int | height | ||
) |
#include <opencv2/fuzzy/fuzzy_F0_math.hpp>
Computes inverse \(F^0\)-transfrom.
- Parameters
-
components Input 32-bit float single channel array for the components. kernel Kernel used for processing. Function ft::createKernel
can be used.output Output 32-bit float array. width Width of the output array. height Height of the output array.
Computation of inverse F-transform.
◆ FT02D_iteration()
int cv::ft::FT02D_iteration | ( | InputArray | matrix, |
InputArray | kernel, | ||
OutputArray | output, | ||
InputArray | mask, | ||
OutputArray | maskOutput, | ||
bool | firstStop | ||
) |
#include <opencv2/fuzzy/fuzzy_F0_math.hpp>
Computes \(F^0\)-transfrom and inverse \(F^0\)-transfrom at once and return state.
- Parameters
-
matrix Input matrix. kernel Kernel used for processing. Function ft::createKernel
can be used.output Output 32-bit float array. mask Mask used for unwanted area marking. maskOutput Mask after one iteration. firstStop If true function returns -1 when first problem appears. In case of false
the process is completed and summation of all problems returned.
This function computes iteration of F-transfrom and inverse F-transfotm and handle image and mask change. The function is used in ft::inpaint
function.
◆ FT02D_process()
void cv::ft::FT02D_process | ( | InputArray | matrix, |
InputArray | kernel, | ||
OutputArray | output, | ||
InputArray | mask = noArray() |
||
) |
#include <opencv2/fuzzy/fuzzy_F0_math.hpp>
Computes \(F^0\)-transfrom and inverse \(F^0\)-transfrom at once.
- Parameters
-
matrix Input matrix. kernel Kernel used for processing. Function ft::createKernel
can be used.output Output 32-bit float array. mask Mask used for unwanted area marking.
This function computes F-transfrom and inverse F-transfotm in one step. It is fully sufficient and optimized for cv::Mat
.