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wavelet_main.m
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wavelet_main.m
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% ------------------------------------------------------------------------------
%
% Author: Helder C. R. Oliveira
%
% Copyright (c) Helder Oliveira, 2015
% Email: [email protected]
%
% ------------------------------------------------------------------------------
clc;
clear all;
close all;
wave_name = 'db1';
nivel_dec = 5;
nivel_analise = 5;
anscombe = 1;
plot_coeff = 0;
plot_meand_std = 0;
base_folder = 'SPIE2015_Mammo2D/';
folder_list = {'50perc/', ...
'70perc/', ...
'85perc/', ...
'100perc/'};
dose_list = {50, 70, 85, 100};
rls_list = {1, 2, 3, 4, 5};
img_100 = double(imread('projMarcelo50perc_100%_NoNoise_r1.tif'));
img_25 = double(imread('projMarcelo50perc_25%_Noise_quarterDose_r1.tif'));
img_50 = double(imread('projMarcelo50perc_50%_Noise_halfDose_r1.tif'));
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Ajustes de Offset e Dose
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
img_25 = ajuste_offset_equipamento_dose(img_25, img_100, 25);
img_50 = ajuste_offset_equipamento_dose(img_50, img_100, 50);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Plotando média e desvio padrão
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if (plot_meand_std == 1)
plot_mean_std(img_25, '25%', ...
img_50, '50%', ...
img_100, '100%');
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% figure, imshow(1-mat2gray(img_25), []), title('Noisy');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% ANSCOMBE -> FORWARD
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if anscombe == 1,
img_25 = Anscombe_forward(img_25);
img_100 = Anscombe_forward(img_100);
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Wavelet Forward
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% X% da dose
%[c25, s25] = wavedec2(img25, nivel_dec, wave_name);
[cA_X, cH_X, cV_X, cD_X, tams_X] = wavelet_dec(img_25, nivel_dec, wave_name);
% Ground
%[cGround, sGround] = wavedec2(imgGround, nivel_dec, wave_name);
[cA_Ground, cH_Ground, cV_Ground, cD_Ground, tams_Ground] = wavelet_dec(img_100, nivel_dec, wave_name);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Plotando os COEFICIENTES ---> ANTES
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if (plot_coeff == 1)
wavelet_plot_coef_2d('25% (Antes)', ...
abs(cA_X{nivel_analise}), ...
abs(cH_X{nivel_analise}), ...
abs(cV_X{nivel_analise}), ...
abs(cD_X{nivel_analise}), ...
'Ground (Antes)', ...
abs(cA_Ground{nivel_analise}), ...
abs(cH_Ground{nivel_analise}), ...
abs(cV_Ground{nivel_analise}), ...
abs(cD_Ground{nivel_analise}), ...
0,0,0);
end
for nivel = 1:1:nivel_dec,
fprintf('\n-> Nivel: %d\n', nivel);
% k == 3, citado no livro do Starck
% |w| <= k*sigma <--- threshold
k = 1.5;
% Threshold local, na sub-banda
t_h = wavelet_threshold(cH_X{nivel}, 'visushrink') * k;
t_v = wavelet_threshold(cV_X{nivel}, 'visushrink') * k;
t_d = wavelet_threshold(cD_X{nivel}, 'visushrink') * k;
% H-Threshold
% Escala os coeficientes dentro do intervalo de threshold: [-t, t]
[R, C] = size(cH_X{nivel});
% Fator de Shrinkage dos coeficientes
factor = 0.4;
for iR = 1:1:R
for iC = 1:1:C
v1 = abs(cH_X{nivel}(iC, iR));
v2 = abs(cV_X{nivel}(iC, iR));
v3 = abs(cD_X{nivel}(iC, iR));
if (v1 < t_h)
cH_X{nivel}(iC, iR) = (cH_X{nivel}(iC, iR)) * factor;
end
if (v2 < t_v)
cV_X{nivel}(iC, iR) = (cV_X{nivel}(iC, iR)) * (factor);
end
if (v3 < t_d)
cD_X{nivel}(iC, iR) = (cD_X{nivel}(iC, iR)) * factor;
end
end
end
% cH25{nivel} = wthresh(cH25{nivel}, 's', t1);
% cV25{nivel} = wthresh(cV25{nivel}, 's', t2);
% cD25{nivel} = wthresh(cD25{nivel}, 's', t3);
end
% figure, plot(reshape(cH25{nivel_analise}, 1, [])), title('25% (H)');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Plotando os COEFICIENTES
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if (plot_coeff == 1)
wavelet_plot_coef_2d('25%', ...
abs(cA_X{nivel_analise}), ...
abs(cH_X{nivel_analise}), ...
abs(cV_X{nivel_analise}), ...
abs(cD_X{nivel_analise}), ...
'Ground Truth', ...
abs(cA_Ground{nivel_analise}), ...
abs(cH_Ground{nivel_analise}), ...
abs(cV_Ground{nivel_analise}), ...
abs(cD_Ground{nivel_analise}), ...
t_h, t_v, t_d);
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Reconstruction
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
img = wavelet_rec(cA_X, cH_X, cV_X, cD_X, ...
nivel_dec, wave_name, tams_X);
img_100 = wavelet_rec(cA_Ground, cH_Ground, cV_Ground, cD_Ground, ...
nivel_dec, wave_name, tams_Ground);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% ANSCOMBE <- INVERSE
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if anscombe == 1,
img = Anscombe_inverse_exact_unbiased(img);
img_25 = Anscombe_inverse_exact_unbiased(img_25);
img_100 = Anscombe_inverse_exact_unbiased(img_100);
end
% img100 = double(imread('projMarcelo50perc_100%_Noise_r1.tif'));
% h = fspecial('average');
% imgAVG = imfilter(img_25,h);
% figure, imshow(1-mat2gray(imgAVG), []), title('AVG');
figure, imshow(1-mat2gray(img)), title('Denoised');
figure, imshow(1-mat2gray(img_25), []), title('Noisy');
figure, imshow(1-mat2gray(img_100), []), title('100%');
% fprintf('Diference: %.10f\n', max(max(abs(img-img25))))
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Recortes onde existem microcalcificacoes
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
img25Rec = img_25(50:129, 85:164);
imgRec = img(50:129, 85:164);
imgGroundRec = img_100(50:129, 85:164);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Evaluation (ANTIGO)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% L = max(img100(:));
fprintf('\nRecortes: Noisy vs Ground\n');
evaluation5(img25Rec, imgGroundRec);
%
fprintf('\nRecortes: Restored vs Ground\n');
evaluation5(imgRec, imgGroundRec);
%
% imgAVGRec = imgAVG(50:129, 85:164);
% evaluation4(imgAVGRec, imgGroundRec);
% fprintf('\nRestored vs 25%%\n');
% evaluation3(img, img25, L);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Plotando média e desvio padrão
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if (plot_meand_std == 1)
plot_mean_std(img_25, '25%', ...
img, '25% Depois', ...
img_100, '100%');
end
%figure,
%subplot(2,2,1); imshow(cA25{nivel_analise}, []), title('Aproximacao');
%subplot(2,2,2); imshow(cH25{nivel_analise}, []), title('Horizontal');
%subplot(2,2,3); imshow(cV25{nivel_analise}, []), title('Vertical');
%subplot(2,2,4); imshow(cD25{nivel_analise}, []), title('Diagonal');