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| close all
clear all
clc
direct = 'C:\Users\a\Documents\Stepintothefuture\Фокусировка\10х - ИЦХ - опухолевые клетки\';
D = dir([direct,'*.png']);
f1=zeros(1,length(D));
f2=zeros(1,length(D));
f3=zeros(1,length(D));
f4=zeros(1,length(D));
f5=zeros(1,length(D));
f6=zeros(1,length(D));
f7=zeros(1,length(D));
f8=zeros(1,length(D));
f9=zeros(1,length(D));
f10=zeros(1,length(D));
f11=zeros(1,length(D));
f12=zeros(1,length(D));
f13=zeros(1,length(D));
f14=zeros(1,length(D));
f15=zeros(1,length(D));
f16=zeros(1,length(D));
f17=zeros(1,length(D));
f18=zeros(1,length(D));
s=length(D);
N = 17; % номер самого резкого изображения в этой папке
for ind=1:s;
filename=D(ind).name;
disp(filename)
fullname=[direct,filename];
I=imread(fullname);
cform = makecform('srgb2lab');
lab_Im = applycform(I,cform);
L = lab_Im(:,:,1);
Ld=double(L);
% f1(ind)=F1(Ld);
% f2(ind)=F2(Ld);
% f3(ind)=F3(Ld);
% f4(ind)=F4(Ld);
% f5(ind)=F5(Ld);
% f6(ind)=F6(Ld);
% f7(ind)=F7(Ld);
% % f8(ind)=F8(Ld);
% f9(ind)=F9(Ld);
% f10(ind)=F10(Ld);
% f11(ind)=F11(Ld);
% f12(ind)=F12(Ld);
% f13(ind)=F13(L);
% f14(ind)=F14(L);
% f15(ind)=F15(L);
f16(ind)=F16(mat2gray(Ld));
% f17(ind)=F17(L);
% f18(ind)=F18(L);
end
figure (gcf);
plot(f1/max(f1)); grid on; title('Thresholded Absolute Gradient')
hold on; plot(N, f1(N)/max(f1),'or');
[~, n] = max(f1);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure;
plot(f2/max(f2)); grid on; title('Squared Gradient')
hold on; plot(N, f2(N)/max(f2),'or');
[~, n] = max(f2);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure;
plot(f3/max(f3)); grid on; title('Brenner Gradient')
hold on; plot(N, f3(N)/max(f3),'or');
[~, n] = max(f3);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f4); grid on; title('Tenenbaum Gradient')
hold on; plot(N, f4(N)/max(f4),'or');
[~, n] = max(f4);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f5); grid on; title('Sum of Modified Laplace')
hold on; plot(N, f5(N)/max(f5),'or');
[~, n] = max(f5);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f6); grid on; title('Energy Laplace')
hold on; plot(N, f6(N)/max(f6),'or');
[~, n] = max(f6);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f7); grid on; title('Contrast')
hold on; plot(N, f7(N)/max(f7),'or');
[~, n] = max(f7);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
% figure; plot(f8); grid on; title('Sum of squared Gaussian Derivates')
hold on; plot(N, f8(N)/max(f8),'or');
[~, n] = max(f8);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f9); grid on; title('Variance')
hold on; plot(N, f9(N)/max(f9),'or');
[~, n] = max(f9);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f10); grid on; title('Normalized Variance')
hold on; plot(N, f10(N)/max(f10),'or');
[~, n] = max(f10);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f11); grid on; title('AutoCorrelation')
hold on; plot(N, f11(N)/max(f11),'or');
[~, n] = max(f11);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f12); grid on; title('Standard Deviation-Based Correlation')
hold on; plot(N, f12(N)/max(f12),'or');
[~, n] = max(f12);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f13); grid on; title('Range Algorithm')
hold on; plot(N, f13(N)/max(f13),'or');
[~, n] = max(f13);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f14); grid on; title('Thresholded Content')
hold on; plot(N, f14(N)/max(f14),'or');
[~, n] = max(f14);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f15); grid on; title('Mason and Green-s Algorithm')
hold on; plot(N, f15(N)/max(f15),'or');
[~, n] = max(f15);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f16); grid on; title('Thresholded Pixel Count')
hold on; plot(N, f16(N)/max(f16),'or');
[~, n] = max(f16);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
% figure; plot(f17); grid on; title('Image Power')
hold on; plot(N, f17(N)/max(f17),'or');
[~, n] = max(f17);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]);
figure; plot(f18); grid on; title('Entropy')
hold on; plot(N, f18(N)/max(f18),'or');
[~, n] = max(f18);
plot(n, 1, 'sk'); hold off
ylim([0 1.1]); |
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