2022年計(jì)算機(jī)視覺(jué)實(shí)驗(yàn)報(bào)告Experiment

1、Experiment 3：Edge DetectionClass: 電子1203班 Student ID: Name: 王影 . AimThe aim of this laboratory session is to learn to deal with image data by Matlab. By the end of this session, you should be able to perform image preprocessing of edge detection in spatial domain and frequency domain. Knowledge requ

2、ired in the Experiment.You are supposed to have learned the basic skills of using Matlab;.You need to review Matlab programming language and M-file format. You should have studied edge detection methods. Experiment ContentsDemand: Please show the figure on the left and list the codes on the right re

3、spectively bellow each question.(請(qǐng)將運(yùn)營(yíng)成果(圖片)和程序代碼貼在每題下方).Read “car.jpg” file (to do this by imread function), convert the color image into grayscale image, and then perform edge detection using Roterts, Prewitt, Sobel operator separately in spatial domain and display the results in a Matlab window.程序

4、：clear;im=imread(car.jpg); I=rgb2gray(im);subplot(3,2,1);imshow(I); title(Gray image); Y,X=size(I);im_edge=zeros(Y,X);T=30;for k=2:Y-1 for kk=2:X-1 im_edge(k,kk)=abs(I(k+1,kk+1)-I(k,kk)+abs(I(k,kk+1)-I(k+1,kk); if (im_edge(k,kk)T) im_edge(k,kk)=1; else im_edge(k,kk)=0; end endendsubplot(3,2,2);imsho

5、w(im_edge,);% 0255title(Robert image); Y X=size(I);imedge=zeros(Y,X); for k=2:Y-1 for kk=2:X-1 imedge(k,kk)=abs(I(k-1,kk+1)-I(k-1,kk-1)+abs(I(k,kk+1)-im(k,kk-1) + abs(I(k+1,kk+1)-I(k+1,kk-1)+. abs(I(k+1,kk -1)-I(k-1,kk-1)+abs(I(k+1, kk)-I(k-1, kk)+abs(I(k+1,kk+1)-I(k-1,kk+1) ; endendsubplot(3,2,3);i

6、mshow(imedge,);title(Prewit image); Y X=size(I);im_edge=zeros(Y,X); for k=2:Y-1 for kk=2:X-1 im_edge(k,kk)=abs(I(k-1,kk+1)-I(k-1,kk-1)+2*abs(I(k,kk+1)-I(k,kk-1) + abs(I(k+1,kk+1)-I(k+1,kk-1)+. abs(I(k+1,kk -1)-I(k-1,kk-1)+2*abs(I(k+1, kk)-I(k-1, kk)+abs(I(k+1,kk+1)-I(k-1,kk+1) ; endendsubplot(3,2,4)

7、;imshow(im_edge,);title(Sobel image);圖像如下: . Read “car.jpg” file (to do this by imread function), convert the color image into grayscale image, then perform edge detection in frequency domain using Gaussian Highpass filter and display the result in a Matlab window.第二題程序：%頻域邊沿檢測(cè)，運(yùn)用Gassian高通濾波器進(jìn)行濾波，進(jìn)行

8、邊沿檢測(cè)%頻域邊沿檢測(cè)，運(yùn)用Gassian高通濾波器進(jìn)行濾波，進(jìn)行邊沿檢測(cè)clear;im=imread(car.jpg);I=rgb2gray(im);subplot(1,2,1);imshow(I);title(gray image);%shifting image (multiply the image by (-1)x+y)row,col=size(I);Y,X=meshgrid(1:col,1:row);II=double(I).*(-1).(X+Y);F=fft2(II);%subplot(2,2,2);%title(Fourier spectrum);%creat highpass filterD=zeros(row,col);u0=floor(row/2); %傅立葉變換中心v0=floor(col/2); D0=40; %截止頻率n=2;for i=1:row for j=1:col d=(i-u0)2+(j-v0)2)0.5; % D(i,j)=1/(1+(D0/d)(2*n); D(i,j)=1-exp(-d2)/(2*(D0)2); endend%filteringG=F.*D;%Invert the result and