计算机视觉技术的基本应用实验报告,计算机视觉实验5形态学滤波实验报告

计算机视觉实验5形态学滤波实验报告

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19.90 积分

Experiment 4：Thresholding ⅱ.You need to review Matlab programming language and M-file format.ⅲ. You should have studied image segmentation and mathematical morphology methods.ⅢⅢ. Experiment Contentsⅰ.Read “bac.bmp” file (to do this by imread function), convert the color image into grayscale image, and then perform thresholding by auto threshoding method using “while loop” and display the results in a Matlab window. 程序：%Iterative thresholdiclear all;im=imread('bac.bmp');subplot(1,2,1);imshow(im);title('Gray image');[Y X]=size(im);S=sum(sum(im));S=S/(X*Y);D=0.1;T=0;im_bi=imS;while(abs(S-T)D)im1=double(im_bi).*double(im);im2=double(abs(1-im_bi)).*double(im);S1=sum(sum(im1))/sum(sum(im_bi));S2=sum(sum(im2))/sum(sum(abs(1-im_bi)));T=S;S=(S1+S2)/2;im_bi=imS;endsubplot(1,2,2);imshow( im_bi);title('image after Auto_thresholding');ⅱ. Read “bw_bac.bmp” file and “bw_bac2.bmp”(to do this by imread function), perform mathematical morphology to fill the small holes in objects and display the results in a Matlab window.腐蚀：mask=[1 1 1;1 1 1;1 1 1];im=imread('bw_bac.bmp');figure(1)subplot(1,2,1);imagesc(im);colormap(gray);[Y,X]=size(im);im_new=zeros(Y,X);T=sum(sum(mask));for kk=2:Y-1for k=2:X-1%Calculating sigmaimblock=im(k-1:k+1,kk-1:kk+1);sigma=sum(sum(imblockif sigma 0im_new(i,j)=1;elseim_new(i,j)=im(i,j);endendendsubplot(1,2,2)imagesc(im_new);colormap(gray);iii. Read “Plate.jpg” file, convert the color image into gray scale image, then perform thresholding I=imread('Plate.JPG'); im=rgb2gray(I);subplot(3,2,1);imshow(im); title('Gray image');[Y X]=size(im);S=sum(sum(im));S=S/(X*Y);D=0.1;T=0;im_bi=imS;while(abs(S-T)D)im1=double(im_bi).*double(im);im2=double(abs(1-im_bi)).*double(im);S1=sum(sum(im1))/sum(sum(im_bi));S2=sum(sum(im2))/sum(sum(abs(1-im_bi)));T=S;S=(S1+S2)/2;im_bi=imS;endsubplot(3,2,2);imshow( im_bi);title('image after Auto_thresholding');mask=[1 1 1;1 1 1;1 1 1];im_new=zeros(Y,X);T=sum(sum(mask));for kk=2:X-1for k=2:Y-1 imblock=im_bi(k-1:k+1,kk-1:kk+1);sigma=sum(sum(imblock if sigma 0im_new(i,j)=1;elseim_new(i,j)=new(i,j);endendendsubplot(3,2,4)imagesc(im_new);colormap(gray);title('image after open'); 关 键 词： 计算机 视觉 实验 形态学 滤波 报告

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