視覺感知lab實(shí)驗(yàn)報(bào)告

1、edge detect(實(shí)驗(yàn)報(bào)告趙宏偉1實(shí)驗(yàn)要求Load the three receptive fields DOG.mat, Gaborh.mat, and Gaborv.mat (corresponding to three different neurons), in addition to the edge images (edges.mat) and the Einstein image (einstein.mat) from your emails.Plot the three different receptive fields side by side within the

2、same figure using imagesc and subplot so you can see what they look like. Use the scaling option for imagesc to make sure that the grayscale for each is equivalent - i.e., so they are directly comparable.Show what each of the edge images looks like in the same manner - i.e., by showing them side by

3、side in the same figure using subplot. You should see that they are just edges at different positions and orientations.Now, for each of your neurons, compute the inner product between its receptive field and each of the edge images. Plot your results for each neuron as a bar plot, with the position

4、of the edge on the x-axis of each barplot.Finally, for receptive fields DOG , Gaborh, Gaborv, show what it would look like to have an entire array of these neurons processing the Einstein image. You can do this by typingpim=conv2(einstein,DOG,same);where pim is your result image.Compare differences

5、of the results from DOG , Gaborh and Gaborv.2實(shí)驗(yàn)環(huán)境pc 機(jī)：windows 7 ultimate X86Matlab (2009a)3實(shí)驗(yàn)內(nèi)容A.(1)結(jié)果圖圖1(2)實(shí)驗(yàn)代碼load DOG.mat;load edges.mat;load einstein.mat;load Gaborh.mat;load Gaborv.mat;colormap(gray);WS=-0.2 0.2;subplot(1,3,1);imagesc(DOG,WS);axis image;title(DOG);%顯示為第一幅圖像并控制縮放，灰度顯示subplot(1,3

6、,2);imagesc(Gaborh,WS);axis image;title(Gaborh);%顯示為第二幅圖像并控制縮放，灰度顯示subplot(1,3,3);imagesc(Gaborv,WS);axis image;title(Gaborv);%顯示為第三幅圖像并控制縮放，灰度顯示B.（1）結(jié)果圖(2)實(shí)驗(yàn)代碼 i=1; while(i=8);imagesc(edge(:，:,;imagesc(edge(:，:,i);axis image;i=i+1;C.結(jié)果圖圖3 DOG與edge的每個(gè)點(diǎn)做點(diǎn)積圖4 Gaborv與edge的每個(gè)點(diǎn)做點(diǎn)積圖5 Gaborh與edge的每個(gè)點(diǎn)做點(diǎn)積(2)

7、實(shí)驗(yàn)代碼load DOG.mat;load edges.mat;load einstein.mat;load Gaborh.mat;load Gaborv.mat;figure;for i=1:8subplot(2,4,i);bar(dot(DOG,edge(:，：，i);xlabel(DOG);endfigure;for i=1:8subplot(2,4,i);bar(dot(Gaborv,edge(:，：，i);xlabel(Gaborv); endfigure;for i=1:8subplot(2,4,i);bar(dot(Gaborh,edge(:，：，i);xlabel(Gaborh

8、); endD.(1)實(shí)驗(yàn)結(jié)果Figure 6DOG50100150200250原圖像50 100 150 200 2505010015020025050 100 150 200 250Gaborv00 50 200 25050100150200250Gaborv00 50 200 25050100150200250Gaborh5010015020025050 100 150 200 250圖6(2)實(shí)驗(yàn)代碼load DOG.mat;load edges.mat;load einstein.mat;load Gaborh.mat;load Gaborv.mat;figure;colormap(

9、gray);ws=-100 100;subplot(2,2,1);imagesc(einstein);axis image;title(原圖像)subplot(2,2,2);pim=conv2(einstein,DOG,same);imagesc(pim,ws);axis image;title(DOG);subplot(2,2,3);pim=conv2(einstein,Gaborv,same);imagesc(pim,ws);axis image;title(Gaborv); subplot(2,2,4);pim=conv2(einstein,Gaborh,same);imagesc(pim,