[301] | 1 | // ----------------------------------------------------------------------- |
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[638] | 2 | // GaussSmooth2D.hh: Definition of GaussSmooth2D class, used to smooth a |
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[301] | 3 | // 2D image with a Gaussian kernel. |
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| 4 | // ----------------------------------------------------------------------- |
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| 5 | // Copyright (C) 2006, Matthew Whiting, ATNF |
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| 6 | // |
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| 7 | // This program is free software; you can redistribute it and/or modify it |
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| 8 | // under the terms of the GNU General Public License as published by the |
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| 9 | // Free Software Foundation; either version 2 of the License, or (at your |
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| 10 | // option) any later version. |
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| 11 | // |
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| 12 | // Duchamp is distributed in the hope that it will be useful, but WITHOUT |
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| 13 | // ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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| 14 | // FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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| 15 | // for more details. |
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| 16 | // |
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| 17 | // You should have received a copy of the GNU General Public License |
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| 18 | // along with Duchamp; if not, write to the Free Software Foundation, |
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| 19 | // Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA |
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| 20 | // |
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| 21 | // Correspondence concerning Duchamp may be directed to: |
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| 22 | // Internet email: Matthew.Whiting [at] atnf.csiro.au |
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| 23 | // Postal address: Dr. Matthew Whiting |
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| 24 | // Australia Telescope National Facility, CSIRO |
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| 25 | // PO Box 76 |
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| 26 | // Epping NSW 1710 |
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| 27 | // AUSTRALIA |
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| 28 | // ----------------------------------------------------------------------- |
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[638] | 29 | #ifndef GAUSSSMOOTH2D_H |
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| 30 | #define GAUSSSMOOTH2D_H |
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[1393] | 31 | #include <vector> |
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[913] | 32 | #include <duchamp/duchamp.hh> |
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[275] | 33 | |
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[682] | 34 | /// @brief How the edges of the array are dealt with |
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| 35 | enum EDGES { EQUALTOEDGE, ///< All pixels are used and treated equally |
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| 36 | SCALEBYCOVERAGE, ///< All pixels are used, but edge pixels are weighted down by the kernel coverage |
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| 37 | TRUNCATE ///< Pixels at edge are set to Blank. |
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| 38 | }; |
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| 39 | |
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[528] | 40 | /// @brief |
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| 41 | /// Define a Gaussian to smooth a 2D array. |
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| 42 | /// @details |
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| 43 | /// A simple class to define a Gaussian kernel that can be used to |
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| 44 | /// smooth a two-dimensional array. |
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[275] | 45 | |
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[516] | 46 | template <class Type> |
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[638] | 47 | class GaussSmooth2D |
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[275] | 48 | { |
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| 49 | public: |
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[638] | 50 | GaussSmooth2D(); ///< Basic constructor: no kernel defined. |
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| 51 | virtual ~GaussSmooth2D(); ///< Destructor |
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| 52 | GaussSmooth2D(const GaussSmooth2D& g); |
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| 53 | GaussSmooth2D& operator=(const GaussSmooth2D& g); |
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[365] | 54 | |
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[1279] | 55 | void defaults(); |
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[275] | 56 | |
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[528] | 57 | /// @brief Specific constructor that sets up kernel. |
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[1279] | 58 | GaussSmooth2D(float maj, float min, float pa, float cutoff); |
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| 59 | /// @brief Specific constructor that sets up kernel. |
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[638] | 60 | GaussSmooth2D(float maj, float min, float pa); |
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[528] | 61 | /// @brief Specific constructor that sets up kernel: assuming circular gaussian. |
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[638] | 62 | GaussSmooth2D(float maj); |
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[275] | 63 | |
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[528] | 64 | /// @brief Define the size and the array of coefficients. |
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[1279] | 65 | void define(float maj, float min, float pa, float cutoff); |
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[275] | 66 | |
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[682] | 67 | /// @brief Set the size of the kernel |
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| 68 | void setKernelWidth(float width){kernWidth = width;}; |
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| 69 | |
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[528] | 70 | /// @brief Smooth an array with the Gaussian kernel |
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[1187] | 71 | Type *smooth(Type *input, size_t xdim, size_t ydim, EDGES edgeTreatment=EQUALTOEDGE); |
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[528] | 72 | /// @brief Smooth an array with the Gaussian kernel, using a mask to define blank pixels |
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[1393] | 73 | Type *smooth(Type *input, size_t xdim, size_t ydim, std::vector<bool> mask, EDGES edgeTreatment=EQUALTOEDGE); |
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[275] | 74 | |
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| 75 | void setKernMaj(float f){kernMaj=f;}; |
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| 76 | void setKernMin(float f){kernMin=f;}; |
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| 77 | void setKernPA(float f){kernPA=f;}; |
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[1187] | 78 | |
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[516] | 79 | Type getKernelPt(int i){return kernel[i];}; |
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| 80 | Type *getKernel(){return kernel;}; |
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| 81 | |
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[682] | 82 | int getKernelWidth(){return kernWidth;}; |
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[275] | 83 | float getStddevScale(){return stddevScale;}; |
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| 84 | |
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[682] | 85 | void setBlankVal(Type b){blankVal = b;}; |
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| 86 | Type getBlankVal(){return blankVal;}; |
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| 87 | |
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[1187] | 88 | bool isAllocated(){return allocated;}; |
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| 89 | |
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[275] | 90 | private: |
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[528] | 91 | float kernMaj; ///< The FWHM of the major axis of the elliptical Gaussian. |
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| 92 | float kernMin; ///< The FWHM of the minor axis of the elliptical Gaussian. |
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| 93 | float kernPA; ///< The position angle of the elliptical Gaussian. |
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[1187] | 94 | size_t kernWidth; ///< The width of the kernel (in pixels). |
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[528] | 95 | float stddevScale; ///< The factor by which the rms of the input array gets scaled by (assuming iid normally) |
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[516] | 96 | Type *kernel; ///< The coefficients of the smoothing kernel |
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[275] | 97 | bool allocated; ///< Have the coefficients been allocated in memory? |
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[682] | 98 | Type blankVal; ///< What value to set blanks (when doing TRUNCATE mode) |
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[275] | 99 | |
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| 100 | }; |
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| 101 | |
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[710] | 102 | #include <duchamp/Utils/GaussSmooth2D.tcc> |
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[684] | 103 | |
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[638] | 104 | #endif // GAUSSSMOOTH2D_H |
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[1187] | 105 | |
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