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github | bethany/o2model-master | convection_v12_1a.m | .m | o2model-master/SAS1A_2layer/Mylake_v12/v12_1/convection_v12_1a.m | 4,678 | utf_8 | e94636301a8b5e1e69f8658c854900ca | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2004
% VERSION 1.2.1a, based on convection_v12 (with three modified lines of code, marked with NEW!!!)
% Convection module
% Code checked by TSA, 07.03.05
% Last modified by TSA, 17.07.07
function [Tz,Cz,Sz,Pz,Chlz,PPz,D... |
github | bethany/o2model-master | hfbulktc.m | .m | o2model-master/SAS1A_2layer_sensitivity-analysis/Mylake_v12/air_sea/hfbulktc.m | 11,877 | utf_8 | f57ca3e55e72511e31eb4247c8151775 | function A=hfbulktc(ur,zr,Ta,zt,rh,zq,Pa,Ts,sal,dlw,dsw,nsw)
% HFBULKTC: computes sensible and latent heat fluxes and other variables.
% A=HFBULKTC(ur,zr,Ta,zt,rh,zq,Pa,Ts,sal,dlw,dsw,nsw) computes the following:
%
% Hs = sensible heat flux INTO ocean [W/m^2]
% Hl = latent heat flux INTO o... |
github | bethany/o2model-master | cool_skin.m | .m | o2model-master/SAS1A_2layer_sensitivity-analysis/Mylake_v12/air_sea/cool_skin.m | 7,518 | utf_8 | c498431a06857156738bb02881093d6b | function [delta,Dter,Dqer] = cool_skin(sal,Tw,rhoa,cpa,Pa, ...
U_star,T_star,Q_star, ...
dlw,dsw,nsw,delta,g,Rgas, ...
CtoK,Qsat_coeff)
% COOL_SKIN: compute the cool-skin parameters.
% COOL_... |
github | bethany/o2model-master | hfbulktc_speed.m | .m | o2model-master/SAS1A_2layer_sensitivity-analysis/Mylake_v12/air_sea/hfbulktc_speed.m | 12,258 | utf_8 | 58921b3e65881e9bc27ce88e3a96436d | % As hfbulktc.m but in order to speed up the function, the iteration loop is
% changed from "if" to "while" structure by TSA 05.09.03
function A=hfbulktc_speed(ur,zr,Ta,zt,rh,zq,Pa,Ts,sal,dlw,dsw,nsw)
% HFBULKTC: computes sensible and latent heat fluxes and other variables.
% A=HFBULKTC(ur,zr,Ta,zt,rh,zq,Pa,Ts,sa... |
github | bethany/o2model-master | reedcf.m | .m | o2model-master/SAS1A_2layer_sensitivity-analysis/Mylake_v12/air_sea/reedcf.m | 3,943 | utf_8 | a868371ec818451f13265398804019c4 | function c = reedcf(yd,lat,dsw);
% REEDCF: computes daily mean cloud cover following Reed (1977).
% c = REEDCF(yd,lat,dsw) computes daily averaged cloud cover c from
% yearday, latitude, and measured insolation following Reed (1977), J. Phys.
% Oceanog., 7, 482-485. Assumes hourly input series are either both ... |
github | bethany/o2model-master | modelinputs_v12.m | .m | o2model-master/SAS1A_2layer_sensitivity-analysis/Mylake_v12/v12/modelinputs_v12.m | 6,853 | utf_8 | f2f8ca11ae6207d5c802738438d47dce | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2005
%
% Module for reading input data and parameters
% Code checked by TSA, xx.03.2005
% Last modified by TSA, 15.08.2006 (Az replaced by In_Az 10.03.06; Possibility to have NaN in Global rad. series, 15.08.06)
fu... |
github | bethany/o2model-master | IOflow_v11.m | .m | o2model-master/SAS1A_2layer_sensitivity-analysis/Mylake_v12/v12/IOflow_v11.m | 1,836 | utf_8 | 3fd8e614c653ec3dc38eb09d0a96c19c | % === MyLake model, version 1.1, 16.03.04 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2004
%
% Module for calculating river inflow and its effect on profiles of temperature and other state variables
% Code checked by TSA, 16.3.2004
% INPUTS:
% vertical arrays: z is model grid, Vz is layer volume, Tz la... |
github | bethany/o2model-master | heatflux_v12.m | .m | o2model-master/SAS1A_2layer_sensitivity-analysis/Mylake_v12/v12/heatflux_v12.m | 3,866 | utf_8 | c2ac59002c564b594507ca488a499d58 | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2005
%
% Module for calculating heat fluxes and other physical parameters
% Code checked by TSA, 03.03.2005
% Last modified by TSA, 03.03.2005
function [Qsw,Qlw,Qsl,tau,Dayfrac,Dayfracheating] = heatflux_v12(t,GR,CC,Ta,Ra,P... |
github | bethany/o2model-master | solvemodel_v12.m | .m | o2model-master/SAS1A_2layer_sensitivity-analysis/Mylake_v12/v12/solvemodel_v12.m | 64,713 | utf_8 | b8f8cf4868fb2808617e37542294b9e9 | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2005
%
% Main module
% Code checked by TSA, xx.03.2005
% Last modified by TSA, 15.08.2006 (temperature profile sent to convection.m, Thermocline-bug corrected)
function [zz,Az,Vz,tt,Qst,Kzt,Tzt,Czt,Szt,Pzt,Chlzt,PPzt,DOPzt... |
github | bethany/o2model-master | sedimentheat_v11.m | .m | o2model-master/SAS1A_2layer_sensitivity-analysis/Mylake_v12/v12/sedimentheat_v11.m | 957 | utf_8 | 651aaf0bdc6f47d157c158f80f7f0d6b | % === MyLake model, version 1.1, 16.03.04 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2004
%
% Module for calculating new temperature profile in sediments
% Code checked by TSA, 16.03.2004
function [Tzy_sed_updated] = sedimentheat_v11(Tzy_sed, K_sed, dt)
% Grid resolution in sediment is 0.2 m in the 0-2 lay... |
github | bethany/o2model-master | convection_v12_1a.m | .m | o2model-master/SAS1A_2layer_sensitivity-analysis/Mylake_v12/v12/convection_v12_1a.m | 4,563 | utf_8 | 52c642bd5f521687dc0e18eed5c37432 | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2004
% VERSION 1.2.1a, based on convection_v12 (with three modified lines of code, marked with NEW!!!)
% Convection module
% Code checked by TSA, 07.03.05
% Last modified by TSA, 17.07.07
function [Tz,Cz,Sz,Pz,Chlz,PPz,D... |
github | bethany/o2model-master | convection_v12_1a.m | .m | o2model-master/SAS1A_2layer_sensitivity-analysis/Mylake_v12/v12_1/convection_v12_1a.m | 4,672 | utf_8 | 1560fe5acb1866ab414d51978bb5c74b | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2004
% VERSION 1.2.1a, based on convection_v12 (with three modified lines of code, marked with NEW!!!)
% Convection module
% Code checked by TSA, 07.03.05
% Last modified by TSA, 17.07.07
function [Tz,Cz,Sz,Pz,Chlz,PPz,D... |
github | bethany/o2model-master | solvemodel_v12_1b_ut.m | .m | o2model-master/SAS1A_2layer_sensitivity-analysis/Mylake_v12/v12_1/solvemodel_v12_1b_ut.m | 56,687 | utf_8 | 8f54a141697b1c96494feb0d71369d88 | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2005
%
% VERSION 1.2.1 (two phytoplankton groups are included; variable Cz denotes
% this second group now. Frazil ice included + some small bug-fixes and code rearrangements. Using convection_v12_1a.m code)
%
% Main module
%... |
github | bethany/o2model-master | hfbulktc.m | .m | o2model-master/SAS1A_alldata RCP 4.5/Mylake_v12/air_sea/hfbulktc.m | 11,877 | utf_8 | f57ca3e55e72511e31eb4247c8151775 | function A=hfbulktc(ur,zr,Ta,zt,rh,zq,Pa,Ts,sal,dlw,dsw,nsw)
% HFBULKTC: computes sensible and latent heat fluxes and other variables.
% A=HFBULKTC(ur,zr,Ta,zt,rh,zq,Pa,Ts,sal,dlw,dsw,nsw) computes the following:
%
% Hs = sensible heat flux INTO ocean [W/m^2]
% Hl = latent heat flux INTO o... |
github | bethany/o2model-master | cool_skin.m | .m | o2model-master/SAS1A_alldata RCP 4.5/Mylake_v12/air_sea/cool_skin.m | 7,518 | utf_8 | c498431a06857156738bb02881093d6b | function [delta,Dter,Dqer] = cool_skin(sal,Tw,rhoa,cpa,Pa, ...
U_star,T_star,Q_star, ...
dlw,dsw,nsw,delta,g,Rgas, ...
CtoK,Qsat_coeff)
% COOL_SKIN: compute the cool-skin parameters.
% COOL_... |
github | bethany/o2model-master | hfbulktc_speed.m | .m | o2model-master/SAS1A_alldata RCP 4.5/Mylake_v12/air_sea/hfbulktc_speed.m | 12,258 | utf_8 | 58921b3e65881e9bc27ce88e3a96436d | % As hfbulktc.m but in order to speed up the function, the iteration loop is
% changed from "if" to "while" structure by TSA 05.09.03
function A=hfbulktc_speed(ur,zr,Ta,zt,rh,zq,Pa,Ts,sal,dlw,dsw,nsw)
% HFBULKTC: computes sensible and latent heat fluxes and other variables.
% A=HFBULKTC(ur,zr,Ta,zt,rh,zq,Pa,Ts,sa... |
github | bethany/o2model-master | reedcf.m | .m | o2model-master/SAS1A_alldata RCP 4.5/Mylake_v12/air_sea/reedcf.m | 3,943 | utf_8 | a868371ec818451f13265398804019c4 | function c = reedcf(yd,lat,dsw);
% REEDCF: computes daily mean cloud cover following Reed (1977).
% c = REEDCF(yd,lat,dsw) computes daily averaged cloud cover c from
% yearday, latitude, and measured insolation following Reed (1977), J. Phys.
% Oceanog., 7, 482-485. Assumes hourly input series are either both ... |
github | bethany/o2model-master | modelinputs_v12.m | .m | o2model-master/SAS1A_alldata RCP 4.5/Mylake_v12/v12/modelinputs_v12.m | 6,853 | utf_8 | f2f8ca11ae6207d5c802738438d47dce | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2005
%
% Module for reading input data and parameters
% Code checked by TSA, xx.03.2005
% Last modified by TSA, 15.08.2006 (Az replaced by In_Az 10.03.06; Possibility to have NaN in Global rad. series, 15.08.06)
fu... |
github | bethany/o2model-master | IOflow_v11.m | .m | o2model-master/SAS1A_alldata RCP 4.5/Mylake_v12/v12/IOflow_v11.m | 1,836 | utf_8 | 3fd8e614c653ec3dc38eb09d0a96c19c | % === MyLake model, version 1.1, 16.03.04 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2004
%
% Module for calculating river inflow and its effect on profiles of temperature and other state variables
% Code checked by TSA, 16.3.2004
% INPUTS:
% vertical arrays: z is model grid, Vz is layer volume, Tz la... |
github | bethany/o2model-master | heatflux_v12.m | .m | o2model-master/SAS1A_alldata RCP 4.5/Mylake_v12/v12/heatflux_v12.m | 3,866 | utf_8 | c2ac59002c564b594507ca488a499d58 | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2005
%
% Module for calculating heat fluxes and other physical parameters
% Code checked by TSA, 03.03.2005
% Last modified by TSA, 03.03.2005
function [Qsw,Qlw,Qsl,tau,Dayfrac,Dayfracheating] = heatflux_v12(t,GR,CC,Ta,Ra,P... |
github | bethany/o2model-master | solvemodel_v12.m | .m | o2model-master/SAS1A_alldata RCP 4.5/Mylake_v12/v12/solvemodel_v12.m | 60,047 | utf_8 | 75927e7e66ca36798d8207467775b362 | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2005
%
% Main module
% Code checked by TSA, xx.03.2005
% Last modified by TSA, 15.08.2006 (temperature profile sent to convection.m, Thermocline-bug corrected)
function [zz,Az,Vz,tt,Qst,Kzt,Tzt,Czt,Szt,Pzt,Chlzt,PPzt,DOPzt... |
github | bethany/o2model-master | sedimentheat_v11.m | .m | o2model-master/SAS1A_alldata RCP 4.5/Mylake_v12/v12/sedimentheat_v11.m | 957 | utf_8 | 651aaf0bdc6f47d157c158f80f7f0d6b | % === MyLake model, version 1.1, 16.03.04 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2004
%
% Module for calculating new temperature profile in sediments
% Code checked by TSA, 16.03.2004
function [Tzy_sed_updated] = sedimentheat_v11(Tzy_sed, K_sed, dt)
% Grid resolution in sediment is 0.2 m in the 0-2 lay... |
github | bethany/o2model-master | convection_v12_1a.m | .m | o2model-master/SAS1A_alldata RCP 4.5/Mylake_v12/v12/convection_v12_1a.m | 4,678 | utf_8 | ee28d5983f6a9c5e5efdd548047b73b6 | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2004
% VERSION 1.2.1a, based on convection_v12 (with three modified lines of code, marked with NEW!!!)
% Convection module
% Code checked by TSA, 07.03.05
% Last modified by TSA, 17.07.07
function [Tz,Cz,Sz,Pz,Chlz,PPz,D... |
github | bethany/o2model-master | convection_v12_1a.m | .m | o2model-master/SAS1A_alldata RCP 4.5/Mylake_v12/v12_1/convection_v12_1a.m | 4,672 | utf_8 | 1087d9c9e1b8a1e06675c40303b57baa | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2004
% VERSION 1.2.1a, based on convection_v12 (with three modified lines of code, marked with NEW!!!)
% Convection module
% Code checked by TSA, 07.03.05
% Last modified by TSA, 17.07.07
function [Tz,Cz,Sz,Pz,Chlz,PPz,D... |
github | bethany/o2model-master | solvemodel_v12_1b_ut.m | .m | o2model-master/SAS1A_alldata RCP 4.5/Mylake_v12/v12_1/solvemodel_v12_1b_ut.m | 56,687 | utf_8 | 8f54a141697b1c96494feb0d71369d88 | % === MyLake model, version 1.2, 15.03.05 ===
% by Tom Andersen & Tuomo Saloranta, NIVA 2005
%
% VERSION 1.2.1 (two phytoplankton groups are included; variable Cz denotes
% this second group now. Frazil ice included + some small bug-fixes and code rearrangements. Using convection_v12_1a.m code)
%
% Main module
%... |
github | ashriram/FUSION-master | quadedgep2.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/filtersQuad/quadedgep2.m | 5,686 | utf_8 | bd13f17991058601f439a128b1807df5 | % function [xs,ys,gx,gy,par,threshold,mag,mage,g,FIe,FIo,mago] = quadedgep(I,par,threshold);
% Input:
% I = image
% par = vector for 4 parameters
% [number of filter orientations, number of scale, filter size, elongation]
% To use default values, put 0.
% threshold = threshold on edge strength
... |
github | ashriram/FUSION-master | savepgm.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/calib_bouguetj/savepgm.m | 446 | utf_8 | 20f631ec4a08463004879aa736d6e210 | %SAVEPGM Write a PGM format file
%
% SAVEPGM(filename, im)
%
% Saves the specified image array in a binary (P5) format PGM image file.
%
% SEE ALSO: loadpgm
%
% Copyright (c) Peter Corke, 1999 Machine Vision Toolbox for Matlab
% Peter Corke 1994
function savepgm(fname, im)
fid = fopen(fname, 'w');
[r,c] = size(... |
github | ashriram/FUSION-master | loadinr.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/calib_bouguetj/loadinr.m | 1,029 | utf_8 | ac39329cc5acba186f4c5ef4c62f3a33 | %LOADINR Load an INRIMAGE format file
%
% LOADINR(filename, im)
%
% Load an INRIA image format file and return it as a matrix
%
% SEE ALSO: saveinr
%
% Copyright (c) Peter Corke, 1999 Machine Vision Toolbox for Matlab
% Peter Corke 1996
function im = loadinr(fname, im)
fid = fopen(fname, 'r');
s = fgets(fid);
... |
github | ashriram/FUSION-master | saveppm.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/calib_bouguetj/saveppm.m | 514 | utf_8 | 07dea55d0d49dfe07b27097d0e865b63 | %SAVEPPM Write a PPM format file
%
% SAVEPPM(filename, r, g, b)
%
% Saves the specified red, green and blue planes in a binary (P6)
% format PPM image file.
%
% SEE ALSO: loadppm
%
% Copyright (c) Peter Corke, 1999 Machine Vision Toolbox for Matlab
% Peter Corke 1994
function saveppm(fname, R, G, B)
fid = fopen(f... |
github | ashriram/FUSION-master | ginput3.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/calib_bouguetj/ginput3.m | 6,340 | utf_8 | fe00d9c5f48e9d92f0d2f51ba3ec7a2a | function [out1,out2,out3] = ginput2(arg1)
%GINPUT Graphical input from mouse.
% [X,Y] = GINPUT(N) gets N points from the current axes and returns
% the X- and Y-coordinates in length N vectors X and Y. The cursor
% can be positioned using a mouse (or by using the Arrow Keys on some
% systems). Data points a... |
github | ashriram/FUSION-master | loadppm.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/calib_bouguetj/loadppm.m | 2,098 | utf_8 | 3420adc34bc6ed0aa2787f9a5015691d | %LOADPPM Load a PPM image
%
% [R,G,B] = loadppm(filename)
%
% Returns a matrix containing the image loaded from the PPM format
% file filename. Handles ASCII (P3) and binary (P6) PPM file formats.
%
% If the filename has no extension, and open fails, a '.ppm' and
% '.pnm' extension will be tried.
%
% SEE ALSO: saveppm... |
github | ashriram/FUSION-master | saveinr.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/calib_bouguetj/saveinr.m | 949 | utf_8 | a18df4fba021be006842fbc35166bc23 | %SAVEINR Write an INRIMAGE format file
%
% SAVEINR(filename, im)
%
% Saves the specified image array in a INRIA image format file.
%
% SEE ALSO: loadinr
%
% Copyright (c) Peter Corke, 1999 Machine Vision Toolbox for Matlab
% Peter Corke 1996
function saveinr(fname, im)
fid = fopen(fname, 'w');
[r,c] = size(im');
... |
github | ashriram/FUSION-master | loadpgm.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/calib_bouguetj/loadpgm.m | 1,836 | utf_8 | 9ad18a34df6b4b136fd67753e7dfab23 | %LOADPGM Load a PGM image
%
% I = loadpgm(filename)
%
% Returns a matrix containing the image loaded from the PGM format
% file filename. Handles ASCII (P2) and binary (P5) PGM file formats.
%
% If the filename has no extension, and open fails, a '.pgm' will
% be appended.
%
%
% Copyright (c) Peter Corke, 1999 Machin... |
github | ashriram/FUSION-master | smooth.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/filter_hist/smooth.m | 445 | utf_8 | de46b292c6ad43bbce4f5d8d27fac512 | % smooth an image
% coordinates (r, c) follow matrix convention;
% the gaussian is truncated at x = +- tail, and there are samples samples
% inbetween, where samples = hsamples * 2 + 1
function g = smooth(image, hsamples)
tail=4;
samples = hsamples * 2 + 1;
x = linspace(-tail, tail, samples);
gauss = exp(-x.^2);
n =... |
github | ashriram/FUSION-master | factor_test2.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/fact/factor_test2.m | 944 | utf_8 | 539636e4818fac07036a7a0c25132b97 | %
% Usage:
%
% [R,t,S] = factor(W)
%
% Function to factor a matrix of input data (W) into the camera
% rotation matrix (R), translation (t), and the shape matrix (S).
% Three-dimensional version. Failure of normalization results in
% empty R and S.
function [R,t,S,C,b] = factor(W)
pts = size(W,2);
t = W*ones(pts,1... |
github | ashriram/FUSION-master | factor_test.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/fact/factor_test.m | 944 | utf_8 | 24d82fbf674d146ac2b8ef0287d5a21a | %
% Usage:
%
% [R,t,S] = factor(W)
%
% Function to factor a matrix of input data (W) into the camera
% rotation matrix (R), translation (t), and the shape matrix (S).
% Three-dimensional version. Failure of normalization results in
% empty R and S.
function [R,t,S,C,b] = factor(W)
pts = size(W,2);
t = W*ones(pts,1... |
github | ashriram/FUSION-master | factor.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/fact/factor.m | 910 | utf_8 | 674c784f89a24244e6890b8cbe6e8d18 | %
% Usage:
%
% [R,t,S] = factor(W)
%
% Function to factor a matrix of input data (W) into the camera
% rotation matrix (R), translation (t), and the shape matrix (S).
% Three-dimensional version. Failure of normalization results in
% empty R and S.
function [R,t,S] = factor(W)
pts = size(W,2);
t = W*ones(pts,1)/pt... |
github | ashriram/FUSION-master | zt.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/fact/zt.m | 197 | utf_8 | 785d4238b16a68ebfcf6a1a5abc9eff5 | % the z' operator described in the paper (returns a row vector)
function v = zt(a, b)
v = [ a(1)*b(1), a(1)*b(2)+a(2)*b(1), a(1)*b(3)+a(3)*b(1), ...
a(2)*b(2), a(2)*b(3)+a(3)*b(2), a(3)*b(3) ];
|
github | ashriram/FUSION-master | smooth.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/filter/smooth.m | 554 | utf_8 | 65754545303ead531e23f964f813dff5 | % smooth an image
% coordinates (r, c) follow matrix convention;
% the gaussian is truncated at x = +- tail, and there are samples samples
% inbetween, where samples = hsamples * 2 + 1
function g = smooth(image, hsamples)
tail=4;
samples = hsamples * 2 + 1;
x = linspace(-tail, tail, samples);
gauss = exp(-x.^2);
%s ... |
github | ashriram/FUSION-master | quadedgep.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/common/quadedgep.m | 3,585 | utf_8 | a0c56dc97d76510e834f0e28ff768f01 | % function [x,y,gx,gy,par,threshold,mag,mage,g,FIe,FIo,mago] = quadedgep(I,par,threshold);
% Input:
% I = image
% par = vector for 4 parameters
% [number of filter orientations, number of scales, filter size, elongation]
% To use default values, put 0.
% threshold = threshold on edge strength
... |
github | ashriram/FUSION-master | ncutd.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/common/ncutd.m | 2,512 | utf_8 | 34f2f00c326bd652a5356fd92fb7873a | % function [v,s,na,d] = ncutd(a,nv,beta,sigma,offset)
% Input:
% a = (attraction + i*repulsion), both nonnegative but could be asymmetrical
% nv = number of eigenvectors v
% beta = weighting between undirected graph and directed graph
% beta = 1, undirected; beta = 0, directed. Default = 0.5
% sigm... |
github | ashriram/FUSION-master | ncut.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/common/ncut.m | 2,445 | utf_8 | 4ec65362aa2b9c90105a61c0836b81de | % function [v,s,na,d] = ncut(a,nv,sigma,offset)
% Input:
% a = affinity matrix, hermitian, could be 3D, or a cell
% nv = number of eigenvectors v
% sigma = refer to EIGS.M, 0 for smallest, default = 'LR'
% offset = vector, each for an affinity matrix, offset for nondirectional repulsion
% W = A... |
github | ashriram/FUSION-master | nonmaxsup.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/common/nonmaxsup.m | 1,610 | utf_8 | c80f7ee8fa49008e092c2553067e1875 | % function f = nonmaxsup(g,ismax,r) return extrema boolean map.
% Input: g = image, gradient image pair [x,y], or [x,y,g] in 3D matrix
% ismax (=1)/0 is for non maximum/minimum suppression
% r (=1) is the neighbourhood radius.
% Output:
% f = thinned extrema boolean map, where
% d (||gr... |
github | ashriram/FUSION-master | showncut.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/stella/showncut.m | 2,431 | utf_8 | 4d23bc296dc5730d5abbb7f4cebe7b16 | % function [g,lgd,v,s,dd] = showncut(fn,rec_num)
% Input:
% fn = file / image name
% rec_num = Ncut record number
% Output:
% g = a cell contains 1D, 2D and 3D embeddings
% lgd = legend for g
% v = eigenvectors
% s = eigenvalues
% dd = normalization matrix = 1/sqrt(rowsum(abs(a)))
% an image i... |
github | ashriram/FUSION-master | firstncut.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/stella/firstncut.m | 1,630 | utf_8 | a63143b222041e09224e5eb6dadc1fbc | % function [v,s,d] = firstncut(base_name,rec_num)
% Input:
% base_name = image name
% rec_num = parameter record number
% Output:
% v = eigenvectors
% s = eigenvalues
% d = normalization matrix d = 1/sqrt(rowsum(abs(a)))
% Convert Jianbo Shi's Ncut Ccode results from images to matlab matrices.
% Stella... |
github | ashriram/FUSION-master | jshincutdefpar.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/stella/jshincutdefpar.m | 565 | utf_8 | 137e4dedf0307b31a5df5415ea48af80 | % function rec = jshincutdefpar;
% default parameter setting for Jianbo Shi's NCut C codes
% Stella X. Yu, 2000.
function rec = jshincutdefpar;
rec.fname_base = '240018s';
rec.fname_ext = 'ppm';
rec.num_eigvecs = 15;
rec.spatial_neighborhood_x=20;
rec.sigma_x= 10;
rec.sig_... |
github | ashriram/FUSION-master | showim.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/stella/showim.m | 814 | utf_8 | 838ba8b1c5d11a2ff841fdf6ea40825c | % function showim(f,cmap) display real or complex image.
% When it is complex, the real part and imaginary part
% are displayed as [real,imag] in one image.
% cmap is the colormap. default = gray, -1 = inverted gray.
% Stella X. Yu, 2000.
function showim(f,cmap,ishori)
if not(isreal(f)),
i = [real(f(:)... |
github | ashriram/FUSION-master | jshincut.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/stella/jshincut.m | 2,362 | utf_8 | e42f7d6ff8a38d087b114c51330ccd49 | % function [par, rec_num] = jshincut(par,image_dir)
% Input:
% par = a structure with parameters for command_ncut.tex
% image_dir = the directory where the imagefile is stored
% Output:
% par = parameters used
% rec_num = record number in the NCut database
% Jianbo Shi's ncut_IC is applied to the image
% (If ... |
github | ashriram/FUSION-master | afromncut.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/stella/afromncut.m | 1,798 | utf_8 | d566c9f3ed90ca0d95f6eb0e9068e75f | % function a = afromncut(v,s,d,visimg,no_rep,pixel_loc)
% Input:
% v = eigenvectors of d*a*d, starting from the second.
% (the first is all one over some constant determined by d)
% s = eigenvalues
% d = normalization matrix 1/sqrt(rowsum(abs(a)))
% visimg = 1/0 if each eigenvector is/not 2D (so v is 3... |
github | ashriram/FUSION-master | getfnames.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/stella/getfnames.m | 835 | utf_8 | 8fec31a5b925b4662f9b800e6dae7f41 | % function [fn,dn] = getfnames(direc,opt)
% Input:
% direc = directory
% opt = wildcat
% Output:
% fn = a cell with all filenames under direc and with opt
% dn = a cell with all directory names under direc and with opt
% For example, getfnames('19990910','*.jpg');
% Set IS_PC according to your platform in ... |
github | ashriram/FUSION-master | ncutcheckin.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/stella/ncutcheckin.m | 3,390 | utf_8 | 3d9dbfa24cde4526127df20ffd158393 | % function rec_num = ncutcheckin(fn,sdir,tdir)
% Input:
% fn = parameter file name, default = 'command_ncut.tex'
% sdir = source dir for fn as well as data files
% tdir = target dir to check in, both default = IMAGE_DIR
% Output:
% rec_num = the number of current parameter records
% The imagefile_par.m i... |
github | ashriram/FUSION-master | openfigure.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/stella/openfigure.m | 1,169 | utf_8 | 1fe3dbb7915cfc7536139ebcd5af4b84 | % function openfigure(m,n,caption,isnew)
function h = openfigure(m,n,caption,isnew)
if nargin<3,
caption = ' ';
end
if nargin<4,
isnew = 1;
end
if (m<=0 | n<=0)
return;
end
if isnew,
h = figure; colormap(gray);
else
h = gcf;
end
clf
subplot('position',[0,0,0.1,0.1]); axis ... |
github | ashriram/FUSION-master | getimage2.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/stella/getimage2.m | 1,033 | utf_8 | 4b1329c267b6821233df65305e33d9af | % function f = getimage2(imagefile) returns a normalized intensity image.
% If the file postfix is not given, then I will search any possible image file
% under the IMAGE_DIR.
% Stella X. Yu, March 1999
function f = getimage2(imagefile)
if exist(imagefile)==2,
g = {imagefile};
else
g = {};
end
glo... |
github | ashriram/FUSION-master | dispimg.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/stella/dispimg.m | 1,306 | utf_8 | ab241c5778bc45b7aff066131314a3fc | % function dispimg(g,fmt,lgd,cmap) display multiple images in one figure.
% Input:
% g = a cell and fmt is a 1x2 vector specifying the layout.
% lgd = a string cell for the title of each image.
% cmap = the colormap (default is the gray, -1 for the inverted gray).
% ishori = a vector of 1/0 to display rea... |
github | ashriram/FUSION-master | savepgm.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/TOOLBOX_calib/savepgm.m | 447 | utf_8 | b8fe9ed33cbd68ea4b83271b431e3667 | %SAVEPGM Write a PGM format file
%
% SAVEPGM(filename, im)
%
% Saves the specified image array in a binary (P5) format PGM image file.
%
% SEE ALSO: loadpgm
%
% Copyright (c) Peter Corke, 1999 Machine Vision Toolbox for Matlab
% Peter Corke 1994
function savepgm(fname, im)
fid = fopen(fname, 'w');
[r,c] = size(... |
github | ashriram/FUSION-master | loadinr.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/TOOLBOX_calib/loadinr.m | 1,029 | utf_8 | ac39329cc5acba186f4c5ef4c62f3a33 | %LOADINR Load an INRIMAGE format file
%
% LOADINR(filename, im)
%
% Load an INRIA image format file and return it as a matrix
%
% SEE ALSO: saveinr
%
% Copyright (c) Peter Corke, 1999 Machine Vision Toolbox for Matlab
% Peter Corke 1996
function im = loadinr(fname, im)
fid = fopen(fname, 'r');
s = fgets(fid);
... |
github | ashriram/FUSION-master | saveppm.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/TOOLBOX_calib/saveppm.m | 722 | utf_8 | 9904ad3d075a120ca32bd9c10e019512 | %SAVEPPM Write a PPM format file
%
% SAVEPPM(filename, I)
%
% Saves the specified red, green and blue planes in a binary (P6)
% format PPM image file.
%
% SEE ALSO: loadppm
%
% Copyright (c) Peter Corke, 1999 Machine Vision Toolbox for Matlab
% Peter Corke 1994
function saveppm(fname, I)
I = double(I);
if size(I,... |
github | ashriram/FUSION-master | ginput3.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/TOOLBOX_calib/ginput3.m | 6,340 | utf_8 | fe00d9c5f48e9d92f0d2f51ba3ec7a2a | function [out1,out2,out3] = ginput2(arg1)
%GINPUT Graphical input from mouse.
% [X,Y] = GINPUT(N) gets N points from the current axes and returns
% the X- and Y-coordinates in length N vectors X and Y. The cursor
% can be positioned using a mouse (or by using the Arrow Keys on some
% systems). Data points a... |
github | ashriram/FUSION-master | loadppm.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/TOOLBOX_calib/loadppm.m | 2,195 | utf_8 | d10c6882d2fd376c02aa45b6f709d620 | %LOADPPM Load a PPM image
%
% I = loadppm(filename)
%
% Returns a matrix containing the image loaded from the PPM format
% file filename. Handles ASCII (P3) and binary (P6) PPM file formats.
%
% If the filename has no extension, and open fails, a '.ppm' and
% '.pnm' extension will be tried.
%
% SEE ALSO: saveppm loadp... |
github | ashriram/FUSION-master | saveinr.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/TOOLBOX_calib/saveinr.m | 949 | utf_8 | a18df4fba021be006842fbc35166bc23 | %SAVEINR Write an INRIMAGE format file
%
% SAVEINR(filename, im)
%
% Saves the specified image array in a INRIA image format file.
%
% SEE ALSO: loadinr
%
% Copyright (c) Peter Corke, 1999 Machine Vision Toolbox for Matlab
% Peter Corke 1996
function saveinr(fname, im)
fid = fopen(fname, 'w');
[r,c] = size(im');
... |
github | ashriram/FUSION-master | loadpgm.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/toolbox_basic/TOOLBOX_calib/loadpgm.m | 1,838 | utf_8 | 6ec18330c2633d5519c72eb2e6fe963b | %LOADPGM Load a PGM image
%
% I = loadpgm(filename)
%
% Returns a matrix containing the image loaded from the PGM format
% file filename. Handles ASCII (P2) and binary (P5) PGM file formats.
%
% If the filename has no extension, and open fails, a '.pgm' will
% be appended.
%
%
% Copyright (c) Peter Corke, 1999 Machin... |
github | ashriram/FUSION-master | quadedgep2.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/MultiNcut/quadedgep2.m | 5,686 | utf_8 | bd13f17991058601f439a128b1807df5 | % function [xs,ys,gx,gy,par,threshold,mag,mage,g,FIe,FIo,mago] = quadedgep(I,par,threshold);
% Input:
% I = image
% par = vector for 4 parameters
% [number of filter orientations, number of scale, filter size, elongation]
% To use default values, put 0.
% threshold = threshold on edge strength
... |
github | ashriram/FUSION-master | computeMultiW.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/MultiNcut/computeMultiW.m | 6,932 | utf_8 | 1d5ea18c0f7089917a030eabf1c5de29 | %inputs : image, number of layers, distance defining the subgrid, the edge filter scales for each layer, radius for each layer,
%edge variance for filter, shape of the neighbourhood layout ('square', 'star', 'cross'), sigma for intensity affinity,
% sigma for distance influence in affinity, weight coefficients for Wp... |
github | ashriram/FUSION-master | quickNcutHardBiais2.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/MultiNcut/quickNcutHardBiais2.m | 5,869 | utf_8 | 889a87dee040c006f6a7b8b13d67249c | % function [v,s] = quickNcutHardBiais(W,U,nbEigenValues,dataGraphCut)
%ligne 35 : changement tim
%[v,s] = ncut(W,nbEigenValues,[],offset);
%devient :
%[v,s] = tim_ncut_rapide(W,nbEigenValues,[],offset);
%et eigs devient tim_eigs
% Input:
% W = affinity matrix
% U = hard constraint matrix, could be a cell... |
github | ashriram/FUSION-master | showmask.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/MultiNcut/showmask.m | 1,345 | utf_8 | 31da201fac0f7fbe83e1244e978a7bef | % function RGB=showmask(V,M,hue);
% Input:
% V = image
% M = nonnegative mask
% hue = a number in [0,1], red,yellow,green,cyan,...,red
% a char, 'r','g','b','y','c','m'
% or a matrix of the same size of image
% eg. hue = mask1 * 0.7 + mask2 * 1;
%
% Output:
% RGB = an... |
github | ashriram/FUSION-master | harris.m | .m | FUSION-master/Workloads/sd-vbs/common/toolbox/ikkjin/harris.m | 1,202 | utf_8 | 11c8ccc181893e4f64481030a27839b0 |
% Sample code for detecting Harris corners, following
% Brown et al, CVPR 2005
% by Alyosha Efros, so probably buggy...
% slightly modified by ikkjin
function [x,y,v] = harris(imrgb);
[nr nc nb]=size(imrgb);
if nb==3
im=rgb2gray(imrgb);
else
im=imrgb;
end
im = im2double(im);
g1 = fspecial('gau... |
github | ashriram/FUSION-master | photonPrintTiming.m | .m | FUSION-master/Workloads/sd-vbs/common/matlab/photonPrintTiming.m | 242 | utf_8 | ea941090f7ca62e236e5418a74138d9c | %! _photonPrintTiming_NA_i2
function photonPrintTiming(elapsed)
if(elapsed(2) == 0)
fprintf(1,'Cycles elapsed\t\t- %u\n',elapsed(1));
else
fprintf(1,'Cycles elapsed\t\t- %u%\u\n',elapsed(2),elapsed(1));
end
end
|
github | ashriram/FUSION-master | randn.m | .m | FUSION-master/Workloads/sd-vbs/common/matlab/randn.m | 359 | utf_8 | 555636fd9e64ec12e32a75c4fffe996e | %! _randn_f2_i1i1
function retRand = randn(m,n)
retRand = ones(m,n);
for i=1:m
for j=1:n
w = 10;
while(w>=1.0)
x1 = 2.0 * rand(1,1) - 1.0;
x2 = 2.0 * rand(1,1) - 1.0;
w = x1*x1 + x2*x2;
end
w = sqrt((-2.0*log(w))/w);
retRa... |
github | ashriram/FUSION-master | photonReportTiming.m | .m | FUSION-master/Workloads/sd-vbs/common/matlab/photonReportTiming.m | 219 | utf_8 | cc1ed57058645356e7b7571ca35bc616 | %! _photonReportTiming_i2_i2i2
function elapsed = photonReportTiming(startCycles, endCycles)
elapsed = zeros(1,2);
elapsed(1) = endCycles(1) - startCycles(1);
elapsed(2) = endCycles(2) - startCycles(2);
end |
github | ashriram/FUSION-master | photonPrintTiming.m | .m | FUSION-master/Workloads/sd-vbs/common/matlab/timingFuncs/photonPrintTiming.m | 87 | utf_8 | 9cf0781a56436c483cb79e418a16f74b | %! _photonPrintTiming_NA_i2
function photonPrintTiming(elapsed)
disp(elapsed);
end |
github | ashriram/FUSION-master | photonReportTiming.m | .m | FUSION-master/Workloads/sd-vbs/common/matlab/timingFuncs/photonReportTiming.m | 219 | utf_8 | cc1ed57058645356e7b7571ca35bc616 | %! _photonReportTiming_i2_i2i2
function elapsed = photonReportTiming(startCycles, endCycles)
elapsed = zeros(1,2);
elapsed(1) = endCycles(1) - startCycles(1);
elapsed(2) = endCycles(2) - startCycles(2);
end |
github | ashriram/FUSION-master | harris.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/stitch/src/matlab/harris.m | 1,038 | utf_8 | 9a347ea08665e1cfbf46d44561e969ce |
% Sample code for detecting Harris corners, following
% Brown et al, CVPR 2005
% by Alyosha Efros, so probably buggy...
function [x,y,v] = harris(im, dataDir);
g1 = [1,4,6,4,1; 4,16,24,16,4;6,24,36,24,6;4,16,24,16,4;1,4,6,4,1]/256;
g2 = [1,2,1;2,4,2;1,2,1]/16;
img1 = conv2(im,g1,'same'); % blur image with ... |
github | ashriram/FUSION-master | getDisparity.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/disparity/src/matlab/getDisparity.m | 1,492 | utf_8 | 2af67b3db0ce54fe04bada165f87303e | function [retDisparity retSAD minSAD]=getDisparity(Ileft, Iright, win_sz, max_shift)
Ileft=double(Ileft);
Iright=double(Iright);
[nr,nc,nb]=size(Ileft);
retSAD=zeros(nr, nc, max_shift);
if(win_sz > 1)
half_win_sz=win_sz/2;
IleftPadded=padarray(Ileft, [half_win_sz, half_win_sz]);
IrightPadded=padarray(Irigh... |
github | ashriram/FUSION-master | script_run_profile.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/multi_ncut/src/matlab/script_run_profile.m | 1,545 | utf_8 | 7e5c8be7d000d50e4c3a4ec2ca822d62 | % MNcutDemo.m
% created by song, 06/13/2005
% an exmaple of how to use and display MNcut
function script_run_profile(dataDir, resultDir, type, common, toolDir)
%% Input parameters
if(nargin == 0)
data_set='test';
end
if(nargin <=2)
imageSize = 100;
end
num_segs = 20;
if(strcmp(type, 'test'))
num_s... |
github | ashriram/FUSION-master | gaussianss.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/sift/src/matlab/gaussianss.m | 7,531 | utf_8 | 091cc6763bd62cc24555388419026c3b | function SS = gaussianss(I,sigman,O,S,omin,smin,smax,sigma0)
% GAUSSIANSS
% SS = GAUSSIANSS(I,SIGMAN,O,S,OMIN,SMIN,SMAX,SIGMA0) returns the
% Gaussian scale space of image I. Image I is assumed to be
% pre-smoothed at level SIGMAN. O,S,OMIN,SMIN,SMAX,SIGMA0 are the
% parameters of the scale space as explained i... |
github | ashriram/FUSION-master | sift.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/sift/src/matlab/sift.m | 3,127 | utf_8 | 5868c80cda90be1970358c3f65700ad6 | % Input:
% I the input image, with pixel values normalize to lie betwen [0,1].
%
% Output:
% features a structure which contains the following fields:
% pos an n*2 matrix containing the (x,y) coordinates of the keypoints
% stored in rows.
% scale an n*3 matrix with rows d... |
github | ashriram/FUSION-master | plotsiftdescriptor.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/sift/src/matlab/plotsiftdescriptor.m | 5,466 | utf_8 | 65f208762b6abd63cf2fa092410c1256 | function h=plotsiftdescriptor(d,f)
% PLOTSIFTDESCRIPTOR Plot SIFT descriptor
% PLOTSIFTDESCRIPTOR(D) plots the SIFT descriptors D, stored as
% columns of the matrix D. D has the same format used by SIFT().
%
% PLOTSIFTDESCRIPTOR(D,F) plots the SIFT descriptors warped to the
% SIFT frames F, specified as colum... |
github | ashriram/FUSION-master | sp3Filters.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/sp3Filters.m | 17,188 | utf_8 | a3514d77e5a92b96d96197ebad343395 | % Steerable pyramid filters. Transform described in:
%
% @INPROCEEDINGS{Simoncelli95b,
% TITLE = "The Steerable Pyramid: A Flexible Architecture for
% Multi-Scale Derivative Computation",
% AUTHOR = "E P Simoncelli and W T Freeman",
% BOOKTITLE = "Second Int'l Conf on Image Processing",
% ADDRESS = "Washington, DC"... |
github | ashriram/FUSION-master | buildWpyr.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/buildWpyr.m | 2,605 | utf_8 | 16663cdfba931a8f5e2ae6a4477253d0 | % [PYR, INDICES] = buildWpyr(IM, HEIGHT, FILT, EDGES)
%
% Construct a separable orthonormal QMF/wavelet pyramid on matrix (or vector) IM.
%
% HEIGHT (optional) specifies the number of pyramid levels to build. Default
% is maxPyrHt(IM,FILT). You can also specify 'auto' to use this value.
%
% FILT (optional) can be a st... |
github | ashriram/FUSION-master | reconLpyr.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/reconLpyr.m | 2,049 | utf_8 | 657b8012a1ed06b6573496855309b2ae | % RES = reconLpyr(PYR, INDICES, LEVS, FILT2, EDGES)
%
% Reconstruct image from Laplacian pyramid, as created by buildLpyr.
%
% PYR is a vector containing the N pyramid subbands, ordered from fine
% to coarse. INDICES is an Nx2 matrix containing the sizes of
% each subband. This is compatible with the MatLab Wavelet t... |
github | ashriram/FUSION-master | mkDisc.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/mkDisc.m | 1,428 | utf_8 | c6acae0ac1aa738b7ef094eb2ac60f52 | % IM = mkDisc(SIZE, RADIUS, ORIGIN, TWIDTH, VALS)
%
% Make a "disk" image. SIZE specifies the matrix size, as for
% zeros(). RADIUS (default = min(size)/4) specifies the radius of
% the disk. ORIGIN (default = (size+1)/2) specifies the
% location of the disk center. TWIDTH (in pixels, default = 2)
% specifies th... |
github | ashriram/FUSION-master | spyrHigh.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/spyrHigh.m | 189 | utf_8 | 3132a747e0c7bf1879bb32e4d5fda257 | % RES = spyrHigh(PYR, INDICES)
%
% Access the highpass residual band from a steerable pyramid.
% Eero Simoncelli, 6/96.
function res = spyrHigh(pyr,pind)
res = pyrBand(pyr, pind, 1);
|
github | ashriram/FUSION-master | mkImpulse.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/mkImpulse.m | 529 | utf_8 | cf6f3809cb123791501bb0e92845a0c6 | % IM = mkImpulse(SIZE, ORIGIN, AMPLITUDE)
%
% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar)
% containing a single non-zero entry, at position ORIGIN (defaults to
% ceil(size/2)), of value AMPLITUDE (defaults to 1).
% Eero Simoncelli, 6/96.
function [res] = mkImpulse(sz, origin, amplitude)
sz = s... |
github | ashriram/FUSION-master | rconv2.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/rconv2.m | 1,435 | utf_8 | da3a54d6c7b1ac17c78eab0a4a7648d9 | % RES = RCONV2(MTX1, MTX2, CTR)
%
% Convolution of two matrices, with boundaries handled via reflection
% about the edge pixels. Result will be of size of LARGER matrix.
%
% The origin of the smaller matrix is assumed to be its center.
% For even dimensions, the origin is determined by the CTR (optional)
% argument:... |
github | ashriram/FUSION-master | mkR.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/mkR.m | 775 | utf_8 | 504bc90f67c72730edc4a9d86630bdf2 | % IM = mkR(SIZE, EXPT, ORIGIN)
%
% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar)
% containing samples of a radial ramp function, raised to power EXPT
% (default = 1), with given ORIGIN (default = (size+1)/2, [1 1] =
% upper left). All but the first argument are optional.
% Eero Simoncelli, 6/96.... |
github | ashriram/FUSION-master | blur.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/blur.m | 811 | utf_8 | 5856870b9b936b658eb5529e572832ac | % RES = blur(IM, LEVELS, FILT)
%
% Blur an image, by filtering and downsampling LEVELS times
% (default=1), followed by upsampling and filtering LEVELS times. The
% blurring is done with filter kernel specified by FILT (default =
% 'binom5'), which can be a string (to be passed to namedFilter), a
% vector (applied sep... |
github | ashriram/FUSION-master | pyrBand.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/pyrBand.m | 395 | utf_8 | 39c1e3772426a1362119d302d9767a24 | % RES = pyrBand(PYR, INDICES, BAND_NUM)
%
% Access a subband from a pyramid (gaussian, laplacian, QMF/wavelet,
% or steerable). Subbands are numbered consecutively, from finest
% (highest spatial frequency) to coarsest (lowest spatial frequency).
% Eero Simoncelli, 6/96.
function res = pyrBand(pyr, pind, band)
re... |
github | ashriram/FUSION-master | kurt2.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/kurt2.m | 551 | utf_8 | cd20c1a5155cba8de454011552ec4f2a | % K = KURT2(MTX,MEAN,VAR)
%
% Sample kurtosis (fourth moment divided by squared variance)
% of a matrix. Kurtosis of a Gaussian distribution is 3.
% MEAN (optional) and VAR (optional) make the computation faster.
% Eero Simoncelli, 6/96.
function res = kurt2(mtx, mn, v)
if (exist('mn') ~= 1)
mn = mean(mean(mtx)... |
github | ashriram/FUSION-master | buildSpyr.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/buildSpyr.m | 2,017 | utf_8 | 008168b7f92c2aa8e42917b3139f4c8c | % [PYR, INDICES, STEERMTX, HARMONICS] = buildSpyr(IM, HEIGHT, FILTFILE, EDGES)
%
% Construct a steerable pyramid on matrix IM.
%
% HEIGHT (optional) specifies the number of pyramid levels to build. Default
% is maxPyrHt(size(IM),size(FILT)).
% You can also specify 'auto' to use this value.
%
% FILTFILE (optional) shou... |
github | ashriram/FUSION-master | setPyrBand.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/setPyrBand.m | 1,043 | utf_8 | 6953cae28a2e745f465b4485b793b5d6 | % NEWPYR = setPyrBand(PYR, INDICES, BAND, BAND_NUM)
%
% Insert an image (BAND) into a pyramid (gaussian, laplacian, QMF/wavelet,
% or steerable). Subbands are numbered consecutively, from finest
% (highest spatial frequency) to coarsest (lowest spatial frequency).
% Eero Simoncelli, 1/03.
function pyr = pyrBand(py... |
github | ashriram/FUSION-master | var2.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/var2.m | 390 | utf_8 | de26727e055081aa670024c273f0e885 | % V = VAR2(MTX,MEAN)
%
% Sample variance of a matrix.
% Passing MEAN (optional) makes the calculation faster.
function res = var2(mtx, mn)
if (exist('mn') ~= 1)
mn = mean2(mtx);
end
if (isreal(mtx))
res = sum(sum(abs(mtx-mn).^2)) / max((prod(size(mtx)) - 1),1);
else
res = sum(sum(real(mtx-mn).^2)) + i*sum(su... |
github | ashriram/FUSION-master | reconSFpyrLevs.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/reconSFpyrLevs.m | 2,016 | utf_8 | ff83a4f3d2f0927dcaa8851535e6b20a | % RESDFT = reconSFpyrLevs(PYR,INDICES,LOGRAD,XRCOS,YRCOS,ANGLE,NBANDS,LEVS,BANDS)
%
% Recursive function for reconstructing levels of a steerable pyramid
% representation. This is called by reconSFpyr, and is not usually
% called directly.
% Eero Simoncelli, 5/97.
function resdft = reconSFpyrLevs(pyr,pind,log_rad,Xr... |
github | ashriram/FUSION-master | rcosFn.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/rcosFn.m | 1,122 | utf_8 | 36283e0a34f1baf7ea2c5e6cb23aab89 | % [X, Y] = rcosFn(WIDTH, POSITION, VALUES)
%
% Return a lookup table (suitable for use by INTERP1)
% containing a "raised cosine" soft threshold function:
%
% Y = VALUES(1) + (VALUES(2)-VALUES(1)) *
% cos^2( PI/2 * (X - POSITION + WIDTH)/WIDTH )
%
% WIDTH is the width of the region over which the tra... |
github | ashriram/FUSION-master | wpyrLev.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/wpyrLev.m | 729 | utf_8 | 77f309b76f98f3421e786fde4fe2d429 | % [LEV,IND] = wpyrLev(PYR,INDICES,LEVEL)
%
% Access a level from a separable QMF/wavelet pyramid.
% Return as an SxB matrix, B = number of bands, S = total size of a band.
% Also returns an Bx2 matrix containing dimensions of the subbands.
% Eero Simoncelli, 6/96.
function [lev,ind] = wpyrLev(pyr,pind,level)
if ((p... |
github | ashriram/FUSION-master | binomialFilter.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/binomialFilter.m | 309 | utf_8 | 47b67219b2519bd65a435f3df318d41a | % KERNEL = binomialFilter(size)
%
% Returns a vector of binomial coefficients of order (size-1) .
% Eero Simoncelli, 2/97.
function [kernel] = binomialFilter(sz)
if (sz < 2)
error('size argument must be larger than 1');
end
kernel = [0.5 0.5]';
for n=1:sz-2
kernel = conv([0.5 0.5]', kernel);
end
|
github | ashriram/FUSION-master | cconv2.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/cconv2.m | 1,325 | utf_8 | 8e564b623ba5cebd51e585eac6c66ba8 | % RES = CCONV2(MTX1, MTX2, CTR)
%
% Circular convolution of two matrices. Result will be of size of
% LARGER vector.
%
% The origin of the smaller matrix is assumed to be its center.
% For even dimensions, the origin is determined by the CTR (optional)
% argument:
% CTR origin
% 0 DIM/2 (defaul... |
github | ashriram/FUSION-master | reconSCFpyr.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/reconSCFpyr.m | 4,475 | utf_8 | a0a6a06af4b5c9f7aa195bb8188fc754 | % RES = reconSCFpyr(PYR, INDICES, LEVS, BANDS, TWIDTH)
%
% The inverse of buildSCFpyr: Reconstruct image from its complex steerable pyramid representation,
% in the Fourier domain.
%
% The image is reconstructed by forcing the complex subbands to be analytic
% (zero on half of the 2D Fourier plane, as they are supossed... |
github | ashriram/FUSION-master | buildSCFpyr.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/buildSCFpyr.m | 2,713 | utf_8 | d94b4004138b50b6651511e8ba6ccb93 | % [PYR, INDICES, STEERMTX, HARMONICS] = buildSCFpyr(IM, HEIGHT, ORDER, TWIDTH)
%
% This is a modified version of buildSFpyr, that constructs a
% complex-valued steerable pyramid using Hilbert-transform pairs
% of filters. Note that the imaginary parts will *not* be steerable.
%
% To reconstruct from this representati... |
github | ashriram/FUSION-master | showIm.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/showIm.m | 6,111 | utf_8 | 15fbbf55e2fd54e3f48ca936e23c3f32 | % RANGE = showIm (MATRIX, RANGE, ZOOM, LABEL, NSHADES )
%
% Display a MatLab MATRIX as a grayscale image in the current figure,
% inside the current axes. If MATRIX is complex, the real and imaginary
% parts are shown side-by-side, with the same grayscale mapping.
%
% If MATRIX is a string, it should be the name of... |
github | ashriram/FUSION-master | pyrLow.m | .m | FUSION-master/Workloads/sd-vbs/benchmarks/texture_synthesis/src/matlabPyrTools/pyrLow.m | 287 | utf_8 | b3514ec06e2e106d7b61e534cac20a8e | % RES = pyrLow(PYR, INDICES)
%
% Access the lowpass subband from a pyramid
% (gaussian, laplacian, QMF/wavelet, steerable).
% Eero Simoncelli, 6/96.
function res = pyrLow(pyr,pind)
band = size(pind,1);
res = reshape( pyr(pyrBandIndices(pind,band)), pind(band,1), pind(band,2) );
|
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