基于MatlabGUI界面版的图像处理设计[MatlabGUI界面版].zip

%文件筛选框 选择图片 [filename,pathname] = uigetfile({'*.jpg;*.bmp;*.tif;*.png;*.gif','All Image Files'},'请选择一张图片'); if filename == 0%如果没有选择， 直接返回即可 return; end strfullname = strcat(pathname,filename);%取得图像文件全名 I = imread(strfullname);%读取图片 figure subplot(221) imshow(I);%显示图片 title('测试图像'); [a b c]=size(I); mainfc; %%均值滤波降噪 f=I; f2=double(f); [M,N]=size(f); f3=zeros([M,N]); for x=2:(M-1); for y=2:(N-1); f3(x,y)=(f2(x-1,y-1)+f2(x,y-1)+f2(x+1,y-1)+f2(x-1,y)+f2(x,y)+f2(x+1,y)+f2(x-1,y+1)+f2(x,y+1)+f2(x+1,y+1))/9; end end subplot(222) imshow(f3/255); title('均值滤波降噪'); %均衡增强 I=histeq((f2/255)); subplot(223) imshow(I); title('均衡化增强处理'); %二值化 I=im2bw(I); subplot(224) imshow(I); title('二值化'); %分割圆环 %第一个圈圈 hold on x0=240; y0=220; r=50; theta=0:pi/50:2*pi; x=x0+r*cos(theta); y=y0+r*sin(theta); plot(x,y,'-',x0,y0,'.','color','r','linewidth',3); mainfc; %第二个圈圈 hold on x0=240; y0=220; r=80; theta=0:pi/50:2*pi; x=x0+r*cos(theta); y=y0+r*sin(theta); plot(x,y,'-',x0,y0,'.','color','b','linewidth',3); %第三个圈圈 hold on x0=240; y0=220; r=110; theta=0:pi/50:2*pi; x=x0+r*cos(theta); y=y0+r*sin(theta); plot(x,y,'-',x0,y0,'.','color','y','linewidth',3); %第四个圈圈 hold on x0=240; y0=220; r=150; theta=0:pi/50:2*pi; x=x0+r*cos(theta); y=y0+r*sin(theta); plot(x,y,'-',x0,y0,'.','color','g','linewidth',3); %%分 for i=1:M for j=1:N if sqrt((i-220)^2+(j-240)^2)<50 II(i,j)=I(i,j); else II(i,j)=0; end end end figure imshow(II); title('第一个圈圈'); for i=1:M for j=1:N if (50<sqrt((i-220)^2+(j-240)^2)) && (sqrt((i-220)^2+(j-240)^2)<80) II(i,j)=I(i,j); else II(i,j)=0; end end end figure imshow(II); title('第二个圈圈') for i=1:M for j=1:N if (80<sqrt((i-220)^2+(j-240)^2)) && (sqrt((i-220)^2+(j-240)^2)<110) II(i,j)=I(i,j); else II(i,j)=0; end end end figure imshow(II); title('第三个圈圈') for i=1:M for j=1:N if (110<sqrt((i-220)^2+(j-240)^2)) && (sqrt((i-220)^2+(j-240)^2)<150) II(i,j)=I(i,j); else II(i,j)=0; end end end figure imshow(II); title('第四个圈圈')