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author | dkazanc <dkazanc@hotmail.com> | 2019-09-03 17:02:54 +0100 |
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committer | dkazanc <dkazanc@hotmail.com> | 2019-09-03 17:02:54 +0100 |
commit | d2d4b4bd1db461fb9215abd20f829ce0298f3876 (patch) | |
tree | 05c64c6d408b5a1266e763cc4addbeb92ea0a2fd /src/Matlab | |
parent | e2d85c8557733174690da77f712a0c0a7c2d26e0 (diff) | |
download | regularization-d2d4b4bd1db461fb9215abd20f829ce0298f3876.tar.gz regularization-d2d4b4bd1db461fb9215abd20f829ce0298f3876.tar.bz2 regularization-d2d4b4bd1db461fb9215abd20f829ce0298f3876.tar.xz regularization-d2d4b4bd1db461fb9215abd20f829ce0298f3876.zip |
CPU fixed, GPU almost
Diffstat (limited to 'src/Matlab')
-rw-r--r-- | src/Matlab/mex_compile/regularisers_CPU/Nonlocal_TV.c | 30 | ||||
-rw-r--r-- | src/Matlab/mex_compile/regularisers_CPU/PatchSelect.c | 24 |
2 files changed, 27 insertions, 27 deletions
diff --git a/src/Matlab/mex_compile/regularisers_CPU/Nonlocal_TV.c b/src/Matlab/mex_compile/regularisers_CPU/Nonlocal_TV.c index 34b9915..a5fb1df 100644 --- a/src/Matlab/mex_compile/regularisers_CPU/Nonlocal_TV.c +++ b/src/Matlab/mex_compile/regularisers_CPU/Nonlocal_TV.c @@ -1,11 +1,11 @@ /* * This work is part of the Core Imaging Library developed by * Visual Analytics and Imaging System Group of the Science Technology - * Facilities Council, STFC and Diamond Light Source Ltd. + * Facilities Council, STFC and Diamond Light Source Ltd. * * Copyright 2017 Daniil Kazantsev * Copyright 2017 Srikanth Nagella, Edoardo Pasca - * Copyright 2018 Diamond Light Source Ltd. + * Copyright 2018 Diamond Light Source Ltd. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. @@ -35,12 +35,12 @@ * 2. AR_i - indeces of i neighbours * 3. AR_j - indeces of j neighbours * 4. AR_k - indeces of k neighbours (0 - for 2D case) - * 5. Weights_ij(k) - associated weights + * 5. Weights_ij(k) - associated weights * 6. regularisation parameter - * 7. iterations number - + * 7. iterations number + * Output: - * 1. denoised image/volume + * 1. denoised image/volume * Elmoataz, Abderrahim, Olivier Lezoray, and Sébastien Bougleux. "Nonlocal discrete regularization on weighted graphs: a framework for image and manifold processing." IEEE Trans. Image Processing 17, no. 7 (2008): 1047-1060. */ @@ -54,11 +54,11 @@ void mexFunction( const mwSize *dim_array; const mwSize *dim_array2; float *A_orig, *Output=NULL, *Weights, lambda; - + dim_array = mxGetDimensions(prhs[0]); dim_array2 = mxGetDimensions(prhs[1]); number_of_dims = mxGetNumberOfDimensions(prhs[0]); - + /*Handling Matlab input data*/ A_orig = (float *) mxGetData(prhs[0]); /* a 2D image or a set of 2D images (3D stack) */ H_i = (unsigned short *) mxGetData(prhs[1]); /* indeces of i neighbours */ @@ -67,14 +67,14 @@ void mexFunction( Weights = (float *) mxGetData(prhs[4]); /* weights for patches */ lambda = (float) mxGetScalar(prhs[5]); /* regularisation parameter */ IterNumb = (int) mxGetScalar(prhs[6]); /* the number of iterations */ - - dimX = dim_array[0]; dimY = dim_array[1]; dimZ = dim_array[2]; - + + dimX = dim_array[0]; dimY = dim_array[1]; dimZ = dim_array[2]; + /*****2D INPUT *****/ if (number_of_dims == 2) { - dimZ = 0; + dimZ = 0; NumNeighb = dim_array2[2]; - Output = (float*)mxGetPr(plhs[0] = mxCreateNumericArray(2, dim_array, mxSINGLE_CLASS, mxREAL)); + Output = (float*)mxGetPr(plhs[0] = mxCreateNumericArray(2, dim_array, mxSINGLE_CLASS, mxREAL)); } /*****3D INPUT *****/ /****************************************************/ @@ -82,7 +82,7 @@ void mexFunction( NumNeighb = dim_array2[3]; Output = (float*)mxGetPr(plhs[0] = mxCreateNumericArray(3, dim_array, mxSINGLE_CLASS, mxREAL)); } - + /* run the main function here */ - Nonlocal_TV_CPU_main(A_orig, Output, H_i, H_j, H_k, Weights, dimX, dimY, dimZ, NumNeighb, lambda, IterNumb); + Nonlocal_TV_CPU_main(A_orig, Output, H_i, H_j, H_k, Weights, dimX, dimY, dimZ, NumNeighb, lambda, IterNumb, 0); } diff --git a/src/Matlab/mex_compile/regularisers_CPU/PatchSelect.c b/src/Matlab/mex_compile/regularisers_CPU/PatchSelect.c index 1acab29..84b08dd 100644 --- a/src/Matlab/mex_compile/regularisers_CPU/PatchSelect.c +++ b/src/Matlab/mex_compile/regularisers_CPU/PatchSelect.c @@ -1,11 +1,11 @@ /* * This work is part of the Core Imaging Library developed by * Visual Analytics and Imaging System Group of the Science Technology - * Facilities Council, STFC and Diamond Light Source Ltd. + * Facilities Council, STFC and Diamond Light Source Ltd. * * Copyright 2017 Daniil Kazantsev * Copyright 2017 Srikanth Nagella, Edoardo Pasca - * Copyright 2018 Diamond Light Source Ltd. + * Copyright 2018 Diamond Light Source Ltd. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. @@ -53,14 +53,14 @@ void mexFunction( int number_of_dims, SearchWindow, SimilarWin, NumNeighb; mwSize dimX, dimY, dimZ; const mwSize *dim_array; - unsigned short *H_i=NULL, *H_j=NULL, *H_k=NULL; + unsigned short *H_i=NULL, *H_j=NULL, *H_k=NULL; float *A, *Weights = NULL, h; mwSize dim_array2[3]; /* for 2D data */ mwSize dim_array3[4]; /* for 3D data */ - + dim_array = mxGetDimensions(prhs[0]); number_of_dims = mxGetNumberOfDimensions(prhs[0]); - + /*Handling Matlab input data*/ A = (float *) mxGetData(prhs[0]); /* a 2D or 3D image/volume */ SearchWindow = (int) mxGetScalar(prhs[1]); /* Large Searching window */ @@ -71,22 +71,22 @@ void mexFunction( dimX = dim_array[0]; dimY = dim_array[1]; dimZ = dim_array[2]; dim_array2[0] = dimX; dim_array2[1] = dimY; dim_array2[2] = NumNeighb; /* 2D case */ dim_array3[0] = dimX; dim_array3[1] = dimY; dim_array3[2] = dimZ; dim_array3[3] = NumNeighb; /* 3D case */ - + /****************2D INPUT ***************/ if (number_of_dims == 2) { - dimZ = 0; + dimZ = 0; H_i = (unsigned short*)mxGetPr(plhs[0] = mxCreateNumericArray(3, dim_array2, mxUINT16_CLASS, mxREAL)); H_j = (unsigned short*)mxGetPr(plhs[1] = mxCreateNumericArray(3, dim_array2, mxUINT16_CLASS, mxREAL)); Weights = (float*)mxGetPr(plhs[2] = mxCreateNumericArray(3, dim_array2, mxSINGLE_CLASS, mxREAL)); } /****************3D INPUT ***************/ - if (number_of_dims == 3) { + if (number_of_dims == 3) { H_i = (unsigned short*)mxGetPr(plhs[0] = mxCreateNumericArray(4, dim_array3, mxUINT16_CLASS, mxREAL)); H_j = (unsigned short*)mxGetPr(plhs[1] = mxCreateNumericArray(4, dim_array3, mxUINT16_CLASS, mxREAL)); H_k = (unsigned short*)mxGetPr(plhs[2] = mxCreateNumericArray(4, dim_array3, mxUINT16_CLASS, mxREAL)); - Weights = (float*)mxGetPr(plhs[3] = mxCreateNumericArray(4, dim_array3, mxSINGLE_CLASS, mxREAL)); + Weights = (float*)mxGetPr(plhs[3] = mxCreateNumericArray(4, dim_array3, mxSINGLE_CLASS, mxREAL)); } - - PatchSelect_CPU_main(A, H_i, H_j, H_k, Weights, (long)(dimX), (long)(dimY), (long)(dimZ), SearchWindow, SimilarWin, NumNeighb, h, 0); - + + PatchSelect_CPU_main(A, H_i, H_j, H_k, Weights, (long)(dimX), (long)(dimY), (long)(dimZ), SearchWindow, SimilarWin, NumNeighb, h); + } |