diff options
Diffstat (limited to 'silx/math/fit/filters/src/smoothnd.c')
-rw-r--r-- | silx/math/fit/filters/src/smoothnd.c | 317 |
1 files changed, 317 insertions, 0 deletions
diff --git a/silx/math/fit/filters/src/smoothnd.c b/silx/math/fit/filters/src/smoothnd.c new file mode 100644 index 0000000..cb96961 --- /dev/null +++ b/silx/math/fit/filters/src/smoothnd.c @@ -0,0 +1,317 @@ +#/*########################################################################## +# +# Copyright (c) 2004-2016 European Synchrotron Radiation Facility +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +# THE SOFTWARE. +# +#############################################################################*/ +#include <stdlib.h> +#include <string.h> +#include <math.h> +#define MIN(x, y) (((x) < (y)) ? (x) : (y)) +#define MAX(x, y) (((x) > (y)) ? (x) : (y)) + +#define MAX_SAVITSKY_GOLAY_WIDTH 101 +#define MIN_SAVITSKY_GOLAY_WIDTH 3 + +/* Wrapped functions */ +void smooth1d(double *data, int size); +void smooth2d(double *data, int size0, int size1); +void smooth3d(double *data, int size0, int size1, int size2); +int SavitskyGolay(double* input, long len_input, int npoints, double* output); + +/* Internal functions */ +long index2d(long row_idx, long col_idx, long ncols); +long index3d(long x_idx, long y_idx, long z_idx, long ny, long nz); +void smooth1d_rows(double *data, long nrows, long ncols); +void smooth1d_cols(double *data, long nrows, long ncols); +void smooth1d_x(double *data, long nx, long ny, long nz); +void smooth1d_y(double *data, long nx, long ny, long nz); +void smooth1d_z(double *data, long nx, long ny, long nz); +void smooth2d_yzslice(double *data, long nx, long ny, long nz); +void smooth2d_xzslice(double *data, long nx, long ny, long nz); +void smooth2d_xyslice(double *data, long nx, long ny, long nz); + + +/* Simple smoothing of a 1D array */ +void smooth1d(double *data, int size) +{ + long i; + double prev_sample; + double next_sample; + + if (size < 3) + { + return; + } + prev_sample = data[0]; + for (i=0; i<(size-1); i++) + { + next_sample = 0.25 * (prev_sample + 2 * data[i] + data[i+1]); + prev_sample = data[i]; + data[i] = next_sample; + } + data[size-1] = 0.25 * prev_sample + 0.75 * data[size-1]; + return; +} + +/* Smoothing of a 2D array*/ +void smooth2d(double *data, int nrows, int ncols) +{ + /* smooth the first dimension (rows) */ + smooth1d_rows(data, nrows, ncols); + + /* smooth the 2nd dimension */ + smooth1d_cols(data, nrows, ncols); +} + +/* Smoothing of a 3DÂ array */ +void smooth3d(double *data, int nx, int ny, int nz) +{ + smooth2d_xyslice(data, nx, ny, nz); + smooth2d_xzslice(data, nx, ny, nz); + smooth2d_yzslice(data, nx, ny, nz); +} + +/* 1D Savitsky-Golay smoothing */ +int SavitskyGolay(double* input, long len_input, int npoints, double* output) +{ + + //double dpoints = 5.; + double coeff[MAX_SAVITSKY_GOLAY_WIDTH]; + int i, j, m; + double dhelp, den; + double *data; + + memcpy(output, input, len_input * sizeof(double)); + + if (!(npoints % 2)) npoints +=1; + + if((npoints < MIN_SAVITSKY_GOLAY_WIDTH) || (len_input < npoints) || \ + (npoints > MAX_SAVITSKY_GOLAY_WIDTH)) + { + /* do not smooth data */ + return 1; + } + + /* calculate the coefficients */ + m = (int) (npoints/2); + den = (double) ((2*m-1) * (2*m+1) * (2*m + 3)); + for (i=0; i<= m; i++){ + coeff[m+i] = (double) (3 * (3*m*m + 3*m - 1 - 5*i*i )); + coeff[m-i] = coeff[m+i]; + } + + /* simple smoothing at the beginning */ + for (j=0; j<=(int)(npoints/3); j++) + { + smooth1d(output, m); + } + + /* simple smoothing at the end */ + for (j=0; j<=(int)(npoints/3); j++) + { + smooth1d((output+len_input-m-1), m); + } + + /*one does not need the whole spectrum buffer, but code is clearer */ + data = (double *) malloc(len_input * sizeof(double)); + memcpy(data, output, len_input * sizeof(double)); + + /* the actual SG smoothing in the middle */ + for (i=m; i<(len_input-m); i++){ + dhelp = 0; + for (j=-m;j<=m;j++) { + dhelp += coeff[m+j] * (*(data+i+j)); + } + if(dhelp > 0.0){ + *(output+i) = dhelp / den; + } + } + free(data); + return (0); +} + +/*********************/ +/* Utility functions */ +/*********************/ + +long index2d(long row_idx, long col_idx, long ncols) +{ + return (row_idx*ncols+col_idx); +} + +/* Apply smooth 1d on all rows in a 2D array*/ +void smooth1d_rows(double *data, long nrows, long ncols) +{ + long row_idx; + + for (row_idx=0; row_idx < nrows; row_idx++) + { + smooth1d(&data[row_idx * ncols], ncols); + } +} + +/* Apply smooth 1d on all columns in a 2D array*/ +void smooth1d_cols(double *data, long nrows, long ncols) +{ + long row_idx, col_idx; + long this_idx2d, next_idx2d; + double prev_sample; + double next_sample; + + for (col_idx=0; col_idx < ncols; col_idx++) + { + prev_sample = data[index2d(0, col_idx, ncols)]; + for (row_idx=0; row_idx<(nrows-1); row_idx++) + { + this_idx2d = index2d(row_idx, col_idx, ncols); + next_idx2d = index2d(row_idx+1, col_idx, ncols); + + next_sample = 0.25 * (prev_sample + \ + 2 * data[this_idx2d] + \ + data[next_idx2d]); + prev_sample = data[this_idx2d]; + data[this_idx2d] = next_sample; + } + + this_idx2d = index2d(nrows-1, col_idx, ncols); + data[this_idx2d] = 0.25 * prev_sample + 0.75 * data[this_idx2d]; + } +} + +long index3d(long x_idx, long y_idx, long z_idx, long ny, long nz) +{ + return ((x_idx*ny + y_idx) * nz + z_idx); +} + +/* Apply smooth 1d along first dimension in a 3D array*/ +void smooth1d_x(double *data, long nx, long ny, long nz) +{ + long x_idx, y_idx, z_idx; + long this_idx3d, next_idx3d; + double prev_sample; + double next_sample; + + for (y_idx=0; y_idx < ny; y_idx++) + { + for (z_idx=0; z_idx < nz; z_idx++) + { + prev_sample = data[index3d(0, y_idx, z_idx, ny, nz)]; + for (x_idx=0; x_idx<(nx-1); x_idx++) + { + this_idx3d = index3d(x_idx, y_idx, z_idx, ny, nz); + next_idx3d = index3d(x_idx+1, y_idx, z_idx, ny, nz); + + next_sample = 0.25 * (prev_sample + \ + 2 * data[this_idx3d] + \ + data[next_idx3d]); + prev_sample = data[this_idx3d]; + data[this_idx3d] = next_sample; + } + + this_idx3d = index3d(nx-1, y_idx, z_idx, ny, nz); + data[this_idx3d] = 0.25 * prev_sample + 0.75 * data[this_idx3d]; + } + } +} + +/* Apply smooth 1d along second dimension in a 3D array*/ +void smooth1d_y(double *data, long nx, long ny, long nz) +{ + long x_idx, y_idx, z_idx; + long this_idx3d, next_idx3d; + double prev_sample; + double next_sample; + + for (x_idx=0; x_idx < nx; x_idx++) + { + for (z_idx=0; z_idx < nz; z_idx++) + { + prev_sample = data[index3d(x_idx, 0, z_idx, ny, nz)]; + for (y_idx=0; y_idx<(ny-1); y_idx++) + { + this_idx3d = index3d(x_idx, y_idx, z_idx, ny, nz); + next_idx3d = index3d(x_idx, y_idx+1, z_idx, ny, nz); + + next_sample = 0.25 * (prev_sample + \ + 2 * data[this_idx3d] + \ + data[next_idx3d]); + prev_sample = data[this_idx3d]; + data[this_idx3d] = next_sample; + } + + this_idx3d = index3d(x_idx, ny-1, z_idx, ny, nz); + data[this_idx3d] = 0.25 * prev_sample + 0.75 * data[this_idx3d]; + } + } +} + +/* Apply smooth 1d along third dimension in a 3D array*/ +void smooth1d_z(double *data, long nx, long ny, long nz) +{ + long x_idx, y_idx; + long idx3d_first_sample; + + for (x_idx=0; x_idx < nx; x_idx++) + { + for (y_idx=0; y_idx < ny; y_idx++) + { + idx3d_first_sample = index3d(x_idx, y_idx, 0, ny, nz); + /*We can use regular 1D smoothing function because z samples + are contiguous in memory*/ + smooth1d(&data[idx3d_first_sample], nz); + } + } +} + +/* 2D smoothing of a YZ slice in a 3D volume*/ +void smooth2d_yzslice(double *data, long nx, long ny, long nz) +{ + long x_idx; + long slice_size = ny * nz; + + /* a YZ slice is a "normal" 2D array of memory-contiguous data*/ + for (x_idx=0; x_idx < nx; x_idx++) + { + smooth2d(&data[x_idx*slice_size], ny, nz); + } +} + +/* 2D smoothing of a XZ slice in a 3D volume*/ +void smooth2d_xzslice(double *data, long nx, long ny, long nz) +{ + + /* smooth along the first dimension */ + smooth1d_x(data, nx, ny, nz); + + /* smooth along the third dimension */ + smooth1d_z(data, nx, ny, nz); +} + +/* 2D smoothing of a XY slice in a 3D volume*/ +void smooth2d_xyslice(double *data, long nx, long ny, long nz) +{ + /* smooth along the first dimension */ + smooth1d_x(data, nx, ny, nz); + + /* smooth along the second dimension */ + smooth1d_y(data, nx, ny, nz); +} + |