基于MATLAB的图像处理方法进行面积计算.doc

% Edit By :DTL%图片颜色均衡x_min=58;x_max=1439;y_min=1;y_max=853;valid_pix_cnt=0;%浅色区域像素点个数计数%原始图像I=imread(ini_p2.png);figure(1)imshow(I);sum_pix=(x_max-x_min+1)*(y_max-y_min+1);mean_R=sum(sum(I(y_min:y_max,x_min:x_max,1)/sum_pix;mean_G=sum(sum(I(y_min:y_max,x_min:x_max,2)/sum_pix;mean_B=sum(sum(I(y_min:y_max,x_min:x_max,3)/sum_pix;I(249:370,423:595,1)=mean_R-5;I(249:370,423:595,2)=mean_G-5;I(249:370,423:595,3)=mean_B-5;%分块均衡Lx=150;Ly=100;blk_pix=Lx*Ly;x_inc=15;y_inc=9;x_cnt=floor(x_max-x_min-Lx+1)/x_inc)+1;y_cnt=floor(y_max-y_min-Ly+1)/y_inc)+1;I_blc=I;%均衡处理for x_blc=0:x_cnt for y_blc=0:y_cnt x_start=x_min+x_blc*x_inc; x_end=x_min+x_blc*x_inc+Lx-1; if(x_end=x_max) x_start=x_max-Lx+1; x_end=x_max;end y_start=y_min+y_blc*y_inc;y_end=y_min+y_blc*y_inc+Ly-1; if(y_end=y_max) y_start=y_max-Ly+1; y_end=y_max;end blk_mean_R=sum(sum(I(y_start:y_end,x_start:x_end,1)/blk_pix; blk_mean_G=sum(sum(I(y_start:y_end,x_start:x_end,2)/blk_pix; blk_mean_B=sum(sum(I(y_start:y_end,x_start:x_end,3)/blk_pix; I_blc(y_start:y_end,x_start:x_end,1)=I(y_start:y_end,x_start:x_end,1)*(mean_R/blk_mean_R); I_blc(y_start:y_end,x_start:x_end,2)=I(y_start:y_end,x_start:x_end,2)*(mean_G/blk_mean_G); I_blc(y_start:y_end,x_start:x_end,3)=I(y_start:y_end,x_start:x_end,3)*(mean_B/blk_mean_B); endendfigure(2)imshow(I_blc);title(均衡处理(Lx= num2str(Lx) ;Ly= num2str(Ly) ;x_inc= num2str(x_inc) ;y_inc= num2str(y_inc) ;);%I_ext=I_blc;%阈值设定ThR1=190;ThG1=128;ThB1=128;x_start1=x_min;x_end1=x_max;y_start1=y_min;y_end1=y_max;%处理区域1for y=x_start1:x_end1 for x=y_start1:y_end1 if(I_blc(x,y,1)ThR1 & I_blc(x,y,2)ThG1 & I_blc(x,y,3)ThB1) I_ext(x,y,1)=0;I_ext(x,y,2)=255;I_ext(x,y,3)=0; end endendfigure(7)imshow(I_ext)%去除零散点cnt=0;I_ext2=I_ext;for y=x_start1+1:x_end1-1 for x=y_start1+1:y_end1-1 if(I_ext(x,y,1)=0&I_ext(x,y,2)=255&I_ext(x,y,3)=0) cnt=cnt+1;end if(I_ext(x+1,y,1)=0&I_ext(x+1,y,2)=255&I_ext(x+1,y,3)=0) cnt=cnt+1;end if(I_ext(x,y+1,1)=0&I_ext(x,y+1,2)=255&I_ext(x,y+1,3)=0) cnt=cnt+1;end if(I_ext(x+1,y+1,1)=0&I_ext(x+1,y+1,2)=255&I_ext(x+1,y+1,3)=0) cnt=cnt+1;end if(I_ext(x-1,y,1)=0&I_ext(x-1,y,2)=255&I_ext(x-1,y,3)=0) cnt=cnt+1;end if(I_ext(x,y-1,1)=0&I_ext(x,y-1,2)=255&I_ext(x,y-1,3)=0) cnt=cnt+1;end if(I_ext(x-1,y-1,1)=0&I_ext(x-1,y-1,2)=255&I_ext(x-1,y-1,3)=0) cnt=cnt+1;end if(I_ext(x-1,y+1,1)=0&I_ext(x-1,y+1,2)=255&I_ext(x-1,y+1,3)=0) cnt=cnt+1;end if(I_ext(x+1,y-1,1)=0&I_ext(x+1,y-1,2)=255&I_ext(x+1,y-1,3)=0) cnt=cnt+1;end if(cnt4) I_ext2(x,y,1)=0;I_ext2(x,y,2)=255;I_ext2(x,y,3)=0; valid_pix_cnt=valid_pix_cnt+1; else I_ext2(x,y,1)=I(x,y,1);I_ext2(x,y,2)=I(x,y,2);I_ext2(x,y,3)=I(x,y,3);end cnt=0; endend%浅色区域面积占总面积的百分比rate=valid_pix_cnt/sum_pixfigure(8) ;imshow(I_ext2);title(阈值(ThR1= num2str(ThR1) ,ThG1= . num2str(ThG1) ,ThB1= num2str(ThB1) ),提取结果,浅色区域比率： num2str(rate) );ThR1=190;ThG1=128;ThB1=128;xlab