人臉識(shí)別MATLAB代碼.doc

學(xué)習(xí)資料收集于網(wǎng)絡(luò)，僅供參考1.色彩空間轉(zhuǎn)換function r,g=rgb_RGB(Ori_Face)R=Ori_Face(:,:,1);G=Ori_Face(:,:,2);B=Ori_Face(:,:,3);R1=im2double(R); % 將uint8型轉(zhuǎn)換成double型G1=im2double(G);B1=im2double(B);RGB=R1+G1+B1;row=size(Ori_Face,1); % 行像素column=size(Ori_Face,2); % 列像素for i=1:rowfor j=1:column rr(i,j)=R1(i,j)/RGB(i,j); gg(i,j)=G1(i,j)/RGB(i,j);endendrrr=mean(rr);r=mean(rrr);ggg=mean(gg);g=mean(ggg);2.均值和協(xié)方差t1=imread(D:matlab皮膚庫1.jpg);r1,g1=rgb_RGB(t1);t2=imread(D:matlab皮膚庫2.jpg);r2,g2=rgb_RGB(t2);t3=imread(D:matlab皮膚庫3.jpg);r3,g3=rgb_RGB(t3);t4=imread(D:matlab皮膚庫4.jpg);r4,g4=rgb_RGB(t4);t5=imread(D:matlab皮膚庫5.jpg);r5,g5=rgb_RGB(t5);t6=imread(D:matlab皮膚庫6.jpg);r6,g6=rgb_RGB(t6);t7=imread(D:matlab皮膚庫7.jpg);r7,g7=rgb_RGB(t7);t8=imread(D:matlab皮膚庫8.jpg);r8,g8=rgb_RGB(t8);t9=imread(D:matlab皮膚庫9.jpg);r9,g9=rgb_RGB(t9);t10=imread(D:matlab皮膚庫10.jpg);r10,g10=rgb_RGB(t10);t11=imread(D:matlab皮膚庫11.jpg);r11,g11=rgb_RGB(t11);t12=imread(D:matlab皮膚庫12.jpg);r12,g12=rgb_RGB(t12);t13=imread(D:matlab皮膚庫13.jpg);r13,g13=rgb_RGB(t13);t14=imread(D:matlab皮膚庫14.jpg);r14,g14=rgb_RGB(t14);t15=imread(D:matlab皮膚庫15.jpg);r15,g15=rgb_RGB(t15);t16=imread(D:matlab皮膚庫16.jpg);r16,g16=rgb_RGB(t16);t17=imread(D:matlab皮膚庫17.jpg);r17,g17=rgb_RGB(t17);t18=imread(D:matlab皮膚庫18.jpg);r18,g18=rgb_RGB(t18);t19=imread(D:matlab皮膚庫19.jpg);r19,g19=rgb_RGB(t19);t20=imread(D:matlab皮膚庫20.jpg);r20,g20=rgb_RGB(t20);t21=imread(D:matlab皮膚庫21.jpg);r21,g21=rgb_RGB(t21);t22=imread(D:matlab皮膚庫22.jpg);r22,g22=rgb_RGB(t22);t23=imread(D:matlab皮膚庫23.jpg);r23,g23=rgb_RGB(t23);t24=imread(D:matlab皮膚庫24.jpg);r24,g24=rgb_RGB(t24);t25=imread(D:matlab皮膚庫25.jpg);r25,g25=rgb_RGB(t25);t26=imread(D:matlab皮膚庫26.jpg);r26,g26=rgb_RGB(t26);t27=imread(D:matlab皮膚庫27.jpg);r27,g27=rgb_RGB(t27);r=cat(1,r1,r2,r3,r4,r5,r6,r7,r8,r9,r10,r11,r12,r13,r14,r15,r16,r17,r18,r19,r20,r21,r22,r23,r24,r25,r26,r27);g=cat(1,g1,g2,g3,g4,g5,g6,g7,g8,g9,g10,g11,g12,g13,g14,g15,g16,g17,g18,g19,g20,g21,g22,g23,g24,g25,g26,g27);m=mean(r,g)n=cov(r,g)3.求質(zhì)心function xmean, ymean = center(bw)bw=bwfill(bw,holes);area = bwarea(bw); m n =size(bw);bw=double(bw);xmean =0; ymean = 0;for i=1:m,for j=1:n,xmean = xmean + j*bw(i,j);ymean = ymean + i*bw(i,j);end;end;if(area=0) xmean=0; ymean=0;else xmean = xmean/area; ymean = ymean/area; xmean = round(xmean); ymean = round(ymean); end4. 求偏轉(zhuǎn)角度function theta = orient(bw,xmean,ymean)m n =size(bw);bw=double(bw);a = 0; b = 0; c = 0;for i=1:m,for j=1:n,a = a + (j - xmean)2 * bw(i,j);b = b + (j - xmean) * (i - ymean) * bw(i,j);c = c + (i - ymean)2 * bw(i,j);end;end;b = 2 * b;theta = atan(b/(a-c)/2;theta = theta*(180/pi); % 從幅度轉(zhuǎn)換到角度5. 找區(qū)域邊界function left, right, up, down = bianjie(A)m n = size(A);left = -1;right = -1;up = -1;down = -1;for j=1:n, for i=1:m, if (A(i,j) = 0) left = j; break; end; end; if (left = -1) break; end;end;for j=n:-1:1,for i=1:m,if (A(i,j) = 0) right = j; break;end;end;if (right = -1) break; end;end;for i=1:m,for j=1:n, if (A(i,j) = 0) up = i; break; end;end; if (up = -1) break; end;end;for i=m:-1:1, for j=1:n, if (A(i,j) = 0) down = i; break; end; end; if (down = -1) break; end;end;6. 求起始坐標(biāo)function newcoord = checklimit(coord,maxval)newcoord = coord;if (newcoordmaxval) newcoord=maxval;end;7.模板匹配function ccorr, mfit, RectCoord = mobanpipei(mult, frontalmodel,ly,wx,cx, cy, angle)frontalmodel=rgb2gray(frontalmodel); model_rot = imresize(frontalmodel,ly wx,bilinear); % 調(diào)整模板大小model_rot = imrotate(model_rot,angle,bilinear); % 旋轉(zhuǎn)模板l,r,u,d = bianjie(model_rot); % 求邊界坐標(biāo)bwmodel_rot=imcrop(model_rot,l u (r-l) (d-u); % 選擇模板人臉區(qū)域modx,mody =center(bwmodel_rot); % 求質(zhì)心morig, norig = size(bwmodel_rot); % 產(chǎn)生一個(gè)覆蓋了人臉模板的灰度圖像mfit = zeros(size(mult);mfitbw = zeros(size(mult);limy, limx = size(mfit);% 計(jì)算原圖像中人臉模板的坐標(biāo)startx = cx-modx;starty = cy-mody;endx = startx + norig-1;endy = starty + morig-1;startx = checklimit(startx,limx);starty = checklimit(starty,limy);endx = checklimit(endx,limx);endy = checklimit(endy,limy);for i=starty:endy,for j=startx:endx,mfit(i,j) = model_rot(i-starty+1,j-startx+1);end;end;ccorr = corr2(mfit,mult) % 計(jì)算相關(guān)度l,r,u,d = bianjie(bwmodel_rot);sx = startx+l;sy = starty+u;RectCoord = sx sy (r-1) (d-u); % 產(chǎn)生矩形坐標(biāo)8.主程序clear;fname,pname=uigetfile(*.jpg;*.bmp;*.tif;*.gif,Please choose a color picture.); % 返回打開的圖片名與圖片路徑名u,v=size(fname); y=fname(v); % 圖片格式代表值 switch y case 0 errordlg(You Should Load Image File First.,Warning.); caseg;G;p;P;f;F; % 圖片格式若是JPG/jpg、BMP/bmp、TIF/tif或者GIF/gif，才打開 I=cat(2,pname,fname); Ori_Face=imread(I); subplot(2,3,1),imshow(Ori_Face);otherwise errordlg(You Should Load Image File First.,Warning.); endR=Ori_Face(:,:,1);G=Ori_Face(:,:,2);B=Ori_Face(:,:,3);R1=im2double(R); % 將uint8型轉(zhuǎn)換成double型處理 G1=im2double(G);B1=im2double(B);RGB=R1+G1+B1;m= 0.4144,0.3174; % 均值n=0.0031,-0.0004;-0.0004,0.0003; % 方差row=size(Ori_Face,1); % 行像素?cái)?shù)column=size(Ori_Face,2); % 列像素?cái)?shù)for i=1:row for j=1:column if RGB(i,j)=0 rr(i,j)=0;gg(i,j)=0; else rr(i,j)=R1(i,j)/RGB(i,j); % rgb歸一化 gg(i,j)=G1(i,j)/RGB(i,j); x=rr(i,j),gg(i,j); p(i,j)=exp(-0.5)*(x-m)*inv(n)*(x-m); % 皮膚概率服從高斯分布 end endendsubplot(2,3,2);imshow(p); % 顯示皮膚灰度圖像low_pass=1/9*ones(3);image_low=filter2(low_pass, p); % 低通濾波去噪聲subplot(2,3,3);imshow(image_low); % 自適應(yīng)閥值程序previousSkin2 = zeros(i,j);changelist = ;for threshold = 0.55:-0.1:0.05two_value = zeros(i,j);two_value(find(image_lowthreshold) = 1;change = sum(sum(two_value - previousSkin2);changelist = changelist change;previousSkin2 = two_value;endC, I = min(changelist);optimalThreshold = (7-I)*0.1two_value = zeros(i,j);two_value(find(image_lowoptimalThreshold) = 1; % 二值化subplot(2,3,4);imshow(two_value); % 顯示二值圖像frontalmodel=imread(E:我的照片人臉模板.jpg); % 讀入人臉模板照片F(xiàn)aceCoord=;imsourcegray=rgb2gray(Ori_Face); % 將原照片轉(zhuǎn)換為灰度圖像L,N=bwlabel(two_value,8); % 標(biāo)注二值圖像中連接的部分,L為數(shù)據(jù)矩陣，N為顆粒的個(gè)數(shù) for i=1:N,x,y=find(bwlabel(two_value)=i); % 尋找矩陣中標(biāo)號(hào)為i的行和列的下標(biāo)bwsegment = bwselect(two_value,y,x,8); % 選擇出第i個(gè)顆粒numholes = 1-bweuler(bwsegment,4); % 計(jì)算此區(qū)域的空洞數(shù)if (numholes = 1) % 若此區(qū)域至少包含一個(gè)洞，則將其選出進(jìn)行下一步運(yùn)算RectCoord = -1;m n = size(bwsegment);cx,cy=center(bwsegment); % 求此區(qū)域的質(zhì)心bwnohole=bwfill(bwsegment,holes); % 將洞封?。▽⒒叶戎蒂x為1）justface = uint8(double(bwnohole) .* double(imsourcegray); % 只在原照片的灰度圖像中保留該候選區(qū)域angle = orient(bwsegment,cx,cy); % 求此區(qū)域的偏轉(zhuǎn)角度 bw = imrotate(bwsegment, angle, bilinear);bw = bwfill(bw,holes);l,r,u,d =bianjie(bw);wx = (r - l +1); % 寬度ly = (d - u + 1); % 高度wratio = ly/wx % 高寬比 if (0.8=wratio)&(wratio0.35) ccorr,mfit, RectCoord = mobanpipei(justface,frontalmodel,ly,wx, cx,cy, angle); end if (ccorr=0.6) mfitbw=(mfit=1); invbw = xor(mfitbw,ones(size(mfitbw); source_with_hole = uint8(double(invbw) .* double(imsourcegray); final_image = uint8(double(source_with_hole) + double(mfit); subplot(2,3,5);imshow(final_image); % 顯示覆蓋了模板臉的灰度圖像 imsourcegray = final_image; subplot(2,3,6);imshow(Ori_Face); % 顯示檢測效果圖 end; if (RectCoord = -1) FaceCoord = FaceCoord; RectCoord; end endendend% 在認(rèn)為是人臉的區(qū)域畫矩形 numfaces x = size(FaceCoord); for i=1:numfaces, hd = rectangle(Position,FaceCoord(i,:); set(hd, edgecolor, y); end人臉檢測是人臉識(shí)別、人機(jī)交互、智能視覺監(jiān)控等工作的前提。近年來,在模式識(shí)別與計(jì)算機(jī)視覺領(lǐng)域,人臉檢測己經(jīng)成為一個(gè)受到普遍重視、研究十分活躍的方向。 本文針對(duì)復(fù)雜背景下的彩色正面人臉圖像,將膚色分割、模板匹配與候選人臉圖像塊篩選結(jié)合起來,構(gòu)建了人臉檢測實(shí)驗(yàn)系統(tǒng),并用自制的人臉圖像數(shù)據(jù)庫在該系統(tǒng)下進(jìn)行了一系列的實(shí)驗(yàn)統(tǒng)計(jì)。 本文首先介紹了人臉檢測技術(shù)研究的背景和現(xiàn)狀,闡明人臉檢測技術(shù)發(fā)展的重要意義,對(duì)目前常用的一些檢測算法進(jìn)行了總結(jié),然后著重闡述了基于膚色分割和模板匹配驗(yàn)證的人臉檢測算法。 膚色是人臉重要特征,在通過膚色采樣統(tǒng)計(jì)和聚類分析后,確立一種在YCb