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temp.m
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%Konark Jain
%27th Sept 2019
imagePaths = glob('D:\Work\Acad\sem 7\BTP\data\testGreenBit\017_21_0\Live\pres_A_01\FLAT_MIDDLE_LEFT.bmp');
% imagePaths = imagePaths(done+done2+done3+done4+done5+1:end);
%imagePaths = ['D:\Work\Acad\sem 7\BTP\data\testGreenBit\017_21_0\Live\pres_A_01\FLAT_MIDDLE_LEFT.bmp'];
for i =1:length(imagePaths),
imageName = imagePaths{i}
% for i =1:1,
% imageName = imagePaths
%% GABOR SINE
TR = 5;
sigma1 = 2;
G1 = fun_GABOR_SINE_BASE(TR, sigma1);
TR2 = 5; sigma3 = 2;
G1_LAYER2 = fun_GABOR_SINE_BASE(TR2, sigma3);
TR2 = 5; sigma4 = 2;
G1_LAYER3 = fun_GABOR_SINE_BASE(TR2, sigma4);
%% GABOR SMOOTHER
TR = 1;
sigma2 = 3; % sigma2 = 5 (originally for ver3)
G2 = fun_GABOR_SMOOTHER_BASE(sigma2);
GSM = G1'*G2;%conv2([1 0; 0 0],G2,'same');
GSM_TH = imrotate(GSM,-45,'bilinear');
GSM2 = G1_LAYER2'*G2;
GSM3 = G1_LAYER3'*G2;
clear G
IM = imresize(imread(imageName),[380 380]);
if length(size(IM)) == 3
IM = rgb2gray(IM);
end
IM0 = double(imcomplement(IM));
blob = bwareafilt(IM0>0, 1);
rows = find(any(blob));
cols= find(any(blob'));
IM0 = imcrop(IM0, [rows(1), cols(1), rows(end)-rows(1),cols(end)-cols(1)]);
[a0,b0] = size(IM0);
M = mean(mean(IM0));
VAR = std(double(IM0(:)));
M0 = 100;
VAR0 = 100;
G = IM0;
for i = 1:a0,
for j = 1:b0,
if IM0(i,j) > M,
G(i,j) = M0 + sqrt(VAR0*((IM0(i,j) - M)^2)/VAR);
else
G(i,j) = M0 - sqrt(VAR0*((IM0(i,j) - M)^2)/VAR);
end
end
end
IM0 = G;
[IMF1] = fun_GABOR_FILTER_BANK(IM0, GSM_TH);
[IMF2] = fun_GABOR_FILTER_BANK(IMF1, GSM2);
[IMF3] = fun_GABOR_FILTER_BANK(IMF2, GSM3);
[IMF3] = fun_GABOR_FILTER_BANK(IMF3, GSM3);
[IMF3] = fun_GABOR_FILTER_BANK(IMF3, GSM3);
Q = IMF3;
QMAX = max(Q(:));
SD = sqrt(var(Q(:)));
alpha = 1;
delta = mean(Q(:)) + SD/10;
IND = Q > delta;
[a,b] = size(IND);
c = 1;
for i = 1:a,
for j = 1:b,
if IND(i,j) == 1,
LIST(c) = Q(i,j);
c = c+1;
end
end
end
BINF = Q > delta;
figure; imshow(uint8(255*BINF));
% ST1 = strel('disk',1);
% ST2 = strel('disk',3);
% %BINF2 = imerode(BINF,ST);
% BINF2 = imerode(BINF,ST1);
% %figure; imshow(BINF2);
% BINF3 = imdilate(BINF2,ST2);
% %figure; imshow(BINF3);
BIN0 = bwmorph(BINF,'skel',Inf);
BIN0 = bwmorph(BIN0, 'bridge');
grayImage = uint8(255 * BIN0); % BIN is from Joseph's code.
blackImage = zeros(size(grayImage), 'uint8');
rgbImage = cat(3, blackImage , grayImage, blackImage); % Only green channel is non-zero.
figure; imshow(rgbImage);
H = [0 1 0; 1 1 1; 0 0 0];
STR = strel('arbitrary',H);
BIN_THINNED = BIN0;
% % MASK GENERATION
Y = double(Q/mean(Q(:)));
[h,w] = size(Y);
VD = zeros(h,w);
for i = 6:h-6,
for j = 6:w-6,
c = 1;
for p= i-5:1:i+5,
for q = j-5:1:j+5,
DATA(c) = Y(p,q);
c = c+1;
end
end
VD(i,j) = var(DATA);
end
end
MU_VAR = mean(VD(:));
VB = VD > 0.5*MU_VAR;
R0 = 3;
STR = strel('disk',R0);
[h,w] = size(BIN_THINNED);
MASK = imerode(VB, STR);
[ LOC_BIF, LOC_RID] = fun_BIFURCATION_RID_END_DETECT(BIN_THINNED, MASK);
[LOC_RID_TRIM, LOC_BIF_TRIM] = fun_RIDGE_WEEDING(BIN0, LOC_RID, LOC_BIF);
LOC_BIF_TRIM = fun_BIFUR_WEEDING2(BIN0, LOC_BIF_TRIM);
filename = [imageName(1:end-4),'_250x250.csv'];
[fid, msg] = fopen(filename, 'wt');
if fid < 0
error('Could not open file "%s" because "%s"', fid, msg);
end
for k1 = 1:length(LOC_BIF),
A = LOC_BIF{k1};
%fprintf(fid, '%s,%d,%d\n', 'BIF',A(2), A(1));
end
for k1 = 1:length(LOC_RID),
A = LOC_RID{k1};
%fprintf(fid, '%s,%d,%d\n', 'RID',A(2), A(1));
end
fclose(fid);
%Orientation
[orientIm, rel] = ridgeorient(uint8(IM0),1,3,3);
num_minutiae = length(LOC_BIF_TRIM) + length(LOC_RID_TRIM)
% filename = 'D:\Work\Acad\sem 7\BTP\num_minutiae_250x250.csv';
% [fid, msg] = fopen(filename, 'a+');
% fprintf(fid, '%s,%d \n', imageName,num_minutiae);
% fclose(fid);
IM_show = imcrop(IM, [rows(1), cols(1), rows(end)-rows(1),cols(end)-cols(1)]);
figure; imshow(IM_show); hold on;
for k1 = 1:length(LOC_BIF_TRIM),
A = LOC_BIF_TRIM{k1};
plot(A(2), A(1),'r*'); hold on;
theta = orientIm(A(1),A(2));
u = cos(theta)*10;
v = sin(theta)*10;
quiver(A(2), A(1),u,v);hold on;
end
for k1 = 1:length(LOC_RID_TRIM),
A = LOC_RID_TRIM{k1};
plot(A(2), A(1),'g*'); hold on;
theta = orientIm(A(1),A(2));
u = cos(theta)*10;
v = sin(theta)*10;
quiver(A(2), A(1),u,v);hold on;
end
title('FINAL MINUTIA SET');
hold off;
%Core detection
% [x, y] = poincare_index(orientIm)
% figure, imshow(uint8(IM0)); hold on;
% plot(y,x,'r.');
% hold off;
end