人脸识别算法matlab

close all
clear all
clc

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%reading an image
tic
I = imread（‘E:\123.png‘）;


[IxIyIz]=size（I）;
if Ix>400&Iy>300
    %%%%%%%%%%%%%%%%%%%%%%%%%%%%
    %%%reducing the scale of image let the high is 400
    I=imresize（I[400Iy*400/Ix]‘nearest‘）;
end
figure
imshow（I）
title（‘normal image‘）

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
%%%%skin detection 
I=double（I）;             %converting the integer into decimal fraction
[huesv]=rgb2hsv（I）;    %converting RGB space into HSV space
cb=0.148*I（::1）-0.291*I（::2）+0.439*I（::3）+128;%converting RGB space into YCrCb space
cr=0.439*I（::1）-0.368*I（::2）-0.071*I（::3）+128;  
[w h]=size（I（::1））; %size of the image 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%% let the skin pels points in the YCrCb space as 1
for i=1:w
    for j=1:h 
        % segmenting the yellow skin colour areas      
        if  145<=cr（ij）&cr（ij）<=165&145<=cb（ij）&cb（ij）<=180&0.01<=hue（ij）&hue（ij）<=0.15      
            segment（ij）=1; %skin areas        
        else       
            segment（ij）=0;    
        end    
    end
end
figure
imshow（segment）;

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%% processing on the detected areas
skin=segment;
% removing small connected pixels
skin=bwareaopen（skinround（w*h/900））;
%dilating
se=strel（‘disk‘5）;
skin=imdilate（skinse）;        

%%%%%%%%%