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author | Daniil Kazantsev <dkazanc@hotmail.com> | 2017-07-03 22:35:23 +0100 |
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committer | Daniil Kazantsev <dkazanc@hotmail.com> | 2017-07-03 22:35:23 +0100 |
commit | 329a104d4cb5ba50a59fb80e58de0453ba49f075 (patch) | |
tree | 278a879fb4000c488b3e07dbd6cac6bb9d9aeb7e /demo/DemoRD2.m | |
parent | e55c200119ebf9fd42755cb2fea7c3d286ffe96b (diff) | |
download | regularization-329a104d4cb5ba50a59fb80e58de0453ba49f075.tar.gz regularization-329a104d4cb5ba50a59fb80e58de0453ba49f075.tar.bz2 regularization-329a104d4cb5ba50a59fb80e58de0453ba49f075.tar.xz regularization-329a104d4cb5ba50a59fb80e58de0453ba49f075.zip |
Major reorganization, updated routines
Diffstat (limited to 'demo/DemoRD2.m')
-rw-r--r-- | demo/DemoRD2.m | 130 |
1 files changed, 0 insertions, 130 deletions
diff --git a/demo/DemoRD2.m b/demo/DemoRD2.m deleted file mode 100644 index a8ac2ca..0000000 --- a/demo/DemoRD2.m +++ /dev/null @@ -1,130 +0,0 @@ -% Demonstration of tomographic 3D reconstruction from X-ray synchrotron -% dataset (dendrites) using various data fidelities -% clear all -% close all -% -% % adding paths - addpath('data/'); - addpath('main_func/'); - addpath('supp/'); - -load('sino3D_dendrites.mat') % load 3D normalized sinogram -angles_rad = angles*(pi/180); % conversion to radians - -angSize = size(Sino3D,1); % angles dim -size_det = size(Sino3D, 2); % detector size -recon_size = 850; % reconstruction size - -FBP = iradon(Sino3D(:,:,10)', angles,recon_size); -figure; imshow(FBP , [0, 3]); title ('FBP reconstruction'); - -%% -fprintf('%s\n', 'Reconstruction using FISTA-LS without regularization...'); -clear params -params.sino = Sino3D; -params.N = recon_size; -params.angles = angles_rad; -params.iterFISTA = 80; -params.precondition = 1; % switch on preconditioning -params.show = 0; -params.maxvalplot = 2.5; params.slice = 10; - -tic; [X_fista] = FISTA_REC(params); toc; -figure; imshow(X_fista(:,:,10) , [0, 2.5]); title ('FISTA-LS reconstruction'); -%% -fprintf('%s\n', 'Reconstruction using FISTA-LS-TV...'); -clear params -params.sino = Sino3D; -params.N = recon_size; -params.angles = angles_rad; -params.iterFISTA = 100; -params.lambdaTV = 0.001; % TV regularization parameter for FISTA-TV -params.tol = 1.0e-04; -params.iterTV = 20; -params.precondition = 1; % switch on preconditioning -params.show = 0; -params.maxvalplot = 2.5; params.slice = 10; - -tic; [X_fista_TV] = FISTA_REC(params); toc; -figure; imshow(X_fista_TV(:,:,10) , [0, 2.5]); title ('FISTA-LS-TV reconstruction'); -%% -%% -fprintf('%s\n', 'Reconstruction using FISTA-GH-TV...'); -clear params -params.sino = Sino3D; -params.N = recon_size; -params.angles = angles_rad; -params.iterFISTA = 100; -params.lambdaTV = 0.001; % TV regularization parameter for FISTA-TV -params.tol = 1.0e-04; -params.iterTV = 20; -params.lambdaR_L1 = 0.001; % Soft-Thresh L1 ring variable parameter -params.alpha_ring = 20; % to boost ring removal procedure -params.precondition = 1; % switch on preconditioning -params.show = 0; -params.maxvalplot = 2.5; params.slice = 10; - -tic; [X_fista_GH_TV] = FISTA_REC(params); toc; -figure; imshow(X_fista_GH_TV(:,:,10) , [0, 2.5]); title ('FISTA-GH-TV reconstruction'); -%% -%% -fprintf('%s\n', 'Reconstruction using FISTA-GH-TV-LLT...'); -clear params -params.sino = Sino3D; -params.N = recon_size; -params.angles = angles_rad; -params.iterFISTA = 100; -params.lambdaTV = 0.001; % TV regularization parameter for FISTA-TV -params.tol = 1.0e-04; -params.iterTV = 20; -params.lambdaHO = 35; % regularization parameter for LLT problem -params.tauHO = 0.00011; % time-step parameter for explicit scheme -params.iterHO = 70; % the max number of TV iterations -params.lambdaR_L1 = 0.001; % Soft-Thresh L1 ring variable parameter -params.alpha_ring = 20; % to boost ring removal procedure -params.precondition = 1; % switch on preconditioning -params.show = 0; -params.maxvalplot = 2.5; params.slice = 10; - -tic; [X_fista_GH_TVLLT] = FISTA_REC(params); toc; -figure; imshow(X_fista_GH_TVLLT(:,:,10) , [0, 2.5]); title ('FISTA-GH-TV-LLT reconstruction'); -%% -%% -% fprintf('%s\n', 'Reconstruction using FISTA-Student-TV...'); -% %%%%<<<< Not stable with this dataset! Requires more work >>>> %%%%% -% clear params -% params.sino = Sino3D(:,:,15); -% params.N = 950; -% params.angles = angles_rad; -% params.iterFISTA = 150; -% params.L_const = 30; % Lipshitz constant -% params.lambdaTV = 0.009; % TV regularization parameter for FISTA-TV -% params.tol = 1.0e-04; -% params.iterTV = 20; -% params.fidelity = 'student'; % choosing Student t penalty -% % params.precondition = 1; % switch on preconditioning -% params.show = 1; -% params.maxvalplot = 2.5; params.slice = 1; -% -% tic; [X_fistaStudentTV] = FISTA_REC(params); toc; -% figure; imshow(X_fistaStudentTV , [0, 2.5]); title ('FISTA-Student-TV reconstruction'); -%% -slice = 10; % if 3D reconstruction - -fprintf('%s\n', 'Segmentation using OTSU method ...'); -level = graythresh(X_fista(:,:,slice)); -Segm_FISTA = im2bw(X_fista(:,:,slice),level); -figure; imshow(Segm_FISTA, []); title ('Segmented FISTA-LS reconstruction'); - -level = graythresh(X_fista_TV(:,:,slice)); -Segm_FISTA_TV = im2bw(X_fista_TV(:,:,slice),level); -figure; imshow(Segm_FISTA_TV, []); title ('Segmented FISTA-LS-TV reconstruction'); - -level = graythresh(X_fista_GH_TV(:,:,slice)); -BW_FISTA_GH_TV = im2bw(X_fista_GH_TV(:,:,slice),level); -figure; imshow(BW_FISTA_GH_TV, []); title ('Segmented FISTA-GH-TV reconstruction'); - -level = graythresh(X_fista_GH_TVLLT(:,:,slice)); -BW_FISTA_GH_TVLLT = im2bw(X_fista_GH_TVLLT(:,:,slice),level); -figure; imshow(BW_FISTA_GH_TVLLT, []); title ('Segmented FISTA-GH-TV-LLT reconstruction'); -%%
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