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void | cv::ft::FT02D_components (InputArray matrix, InputArray kernel, OutputArray components, InputArray mask=noArray()) |
| Computes components of the array using direct \(F^0\)-transform. More...
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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. More...
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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. More...
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void | cv::ft::FT02D_inverseFT (InputArray components, InputArray kernel, OutputArray output, int width, int height) |
| Computes inverse \(F^0\)-transfrom. More...
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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. More...
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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. More...
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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.
§ FT02D_components()
Python: |
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| components | = | cv.ft.FT02D_components( | matrix, kernel[, components[, mask]] | ) |
Computes components of the array using direct \(F^0\)-transform.
- Parameters
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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()
Python: |
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| output | = | cv.ft.FT02D_FL_process( | matrix, radius[, output] | ) |
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()
Python: |
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| output | = | cv.ft.FT02D_FL_process_float( | matrix, radius[, output] | ) |
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()
Python: |
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| output | = | cv.ft.FT02D_inverseFT( | components, kernel, width, height[, output] | ) |
Computes inverse \(F^0\)-transfrom.
- Parameters
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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()
Python: |
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| retval, output, maskOutput | = | cv.ft.FT02D_iteration( | matrix, kernel, mask, firstStop[, output[, maskOutput]] | ) |
Computes \(F^0\)-transfrom and inverse \(F^0\)-transfrom at once and return state.
- Parameters
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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()
Python: |
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| output | = | cv.ft.FT02D_process( | matrix, kernel[, output[, mask]] | ) |
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
.