12_3_16.rar_matlab_sign language

warning off; close all; clear all; clc; %% load Image im=imread('Z.jpg'); figure(1),imshow(im); title('Input Image'); %% rgbtohsv cmap = rgb2hsv(im); figure(2),imshow(cmap); title('HSV image'); %% filtered Image red = cmap(:,:,1); a = zeros(size(cmap, 1), size(cmap, 2)); just_red = cat(3, red, a, a); figure(3), imshow(just_red) title('FIltered Image'); %% Skin Filter im1=double(im); skinprob = computeSkinProbability(im); figure(4) image(normalise(skinprob)*64); title('Skin Filter'); %% Hand Cropping cform = makecform('srgb2lab'); J = applycform(im,cform); K=J(:,:,2); figure(5);imshow(K); title('Hand Cropping'); %% Binary Image L=graythresh(J(:,:,2)); BW1=im2bw(J(:,:,2),L); M=graythresh(J(:,:,3)); BW2=im2bw(J(:,:,3),M); O=BW1.*BW2; %% Bounding box P=bwlabel(O,8); BB=regionprops(P,'Boundingbox'); BB1=struct2cell(BB); BB2=cell2mat(BB1); [s1 s2]=size(BB2); mx=0; for k=3:4:s2-1 p=BB2(1,k)*BB2(1,k+1); if p>mx & (BB2(1,k)/BB2(1,k+1))<1.8 mx=p; j=k; end end figure(6),imshow(BW2); hold on; rectangle('Position',[BB2(1,j-2),BB2(1,j-1),BB2(1,j),BB2(1,j+1)],'EdgeColor','r' ) title('Binary Image'); %% Euclidean distance J = rgb2gray(im); ZZ=rgb2gray(cmap); h=imhist(ZZ); h1 = imhist(J); E_distance = sqrt(sum((h-h1).^2)); D1 = bwdist(J,'euclidean'); E_distance=ceil(E_distance); %% PCA Classfication numdata=100; x1=rand(numdata/2,1); y1=rand(numdata/2,1); x2=3*rand(numdata/2,1)+3; y2=3*rand(numdata/2,1)+3; x=[x1;x2]; y=[y1;y2]; %% step 2, finding a mean and subtracting xmean=mean(x); ymean=mean(y); xnew=x-xmean*ones(numdata,1); ynew=y-ymean*ones(numdata,1); %% step 3, covariance matrix covariancematrix=cov(xnew,ynew); %% step 4, Finding Eigenvectors [V,D] = eig(covariancematrix); D=diag(D); maxeigval=V(:,find(D==max(D))); %% Recognition load data if(A11==E_distance) h=msgbox('A','Sign Language Recognition','custom',im); end if(B11==E_distance) h=msgbox('B','Sign Language Recognition','custom',im); end if(C11==E_distance) h=msgbox('C','Sign Language Recognition','custom',im); end if(D11==E_distance) h=msgbox('D','Sign Language Recognition','custom',im); end if(E11==E_distance) h=msgbox('E','Sign Language Recognition','custom',im); end if(F11==E_distance) h=msgbox('F','Sign Language Recognition','custom',im); end if(G11==E_distance) h=msgbox('G','Sign Language Recognition','custom',im); end if(I11==E_distance) h=msgbox('I','Sign Language Recognition','custom',im); end if(K11==E_distance) h=msgbox('K','Sign Language Recognition','custom',im); end if(L11==E_distance) h=msgbox('L','Sign Language Recognition','custom',im); end if(M11==E_distance) h=msgbox('M','Sign Language Recognition','custom',im); end if(N11==E_distance) h=msgbox('N','Sign Language Recognition','custom',im); end if(O11==E_distance) h=msgbox('O','Sign Language Recognition','custom',im); end if(P11==E_distance) h=msgbox('P','Sign Language Recognition','custom',im); end if(Q11==E_distance) h=msgbox('Q','Sign Language Recognition','custom',im); end if(R11==E_distance) h=msgbox('R','Sign Language Recognition','custom',im); end if(S11==E_distance) h=msgbox('S','Sign Language Recognition','custom',im); end if(T11==E_distance) h=msgbox('T','Sign Language Recognition','custom',im); end if(U11==E_distance) h=msgbox('U','Sign Language Recognition','custom',im); end if(V11==E_distance) h=msgbox('V','Sign Language Recognition','custom',im); end if(W11==E_distance) h=msgbox('W','Sign Language Recognition','custom',im); end if(X11==E_distance) h=msgbox('X','Sign Language Recognition','custom',im); end if(Y11==E_distance) h=msgbox('Y','Sign Language Recognition','custom',im); end if(Z11==E_distance) h=msgbox('Z','Sign Language Recognition','custom',im); end