%%^^^^^^^^^^^^author: jagadeesh
%%^^^^^^^^^^^mail id: [email protected]
%^^^^^^^project: face and noise and eye detection for matlab image
%processing tool box
clear all
clc
close all
%To detect Face
FDetect = vision.CascadeObjectDetector;
%Read the input image
I = imread('E:6.jpg');
%Returns Bounding Box values based on number of objects
face_dtect = step(FDetect,I);
figure(1),
imshow(I); hold on
for i = 1:size(face_dtect,1)
rectangle('Position',face_dtect(i,:),'LineWidth',5,'LineStyle','-','EdgeColor','m');
end
title('Face Detection');
hold off;
% for i=1:size(v,2)
% z=[z,norm(cv(i,:)-s,2)];
% if(rem(i,20)==0),imshow(reshape(v(:,i),112,92)),end;
% drawnow;
% end
%
% [a,i]=min(z);
% subplot(122);
% imshow(reshape(v(:,i),112,92));title('Found!','FontWeight','bold','Fontsize',16,'color','red');
%
%%%To detect Nose
NoseDetect = vision.CascadeObjectDetector('Nose','MergeThreshold',16);
face_dtect=step(NoseDetect,I);
figure(2),
imshow(I); hold on
for i = 1:size(face_dtect,1)
rectangle('Position',face_dtect(i,:),'LineWidth',4,'LineStyle','-','EdgeColor','m');
end
title('Nose Detection');
hold off;
%To detect Mouth
mouth_detect = vision.CascadeObjectDetector('Mouth','MergeThreshold',16);
face_dtect=step(mouth_detect,I);
figure(3),
imshow(I); hold on
for i = 1:size(face_dtect,1)
rectangle('Position',face_dtect(i,:),'LineWidth',4,'LineStyle','-','EdgeColor','r');
end
title('Mouth Detection');
hold off;