How to extract an image from a bounding box?

Question

Darsana P M 2016-11-19

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/313002-how-to-extract-an-image-from-a-bounding-box

编辑： Image Analyst 2018-12-29

s1=bwareaopen(s1,500); 
se=strel('disk',2);
s1=imdilate(s1,se); 
s1=bwareaopen(s1,800); 
stats=regionprops(s1,'area','boundingbox');
[LI,CO1]= bwlabeln(s1,18); 
D=CO1; 
subplot(2,2,3) 
imshow(D); 
hold on
k=0; 
for i=1:length(stats) 
      bb=stats.boundingbox; 
      triangle('position',bb,'edgecolor','r','LineWidth','2');
      k=k+1 
end 
hold off
cnt=0;
if k==1|d==1 
    d isp('road'); 
    cnt=cnt+1; 
    printf(road,'1'); 
end

s1,is the input image. Can anybody help me out to extract the image from bounding box?

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Answer 1

Lenin Falconi 2018-12-29

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/313002-how-to-extract-an-image-from-a-bounding-box#answer_354341

编辑：Image Analyst 2018-12-29

在 MATLAB Online 中打开

Hello I don't know if the following might help you even though it seems really late for answering this question.

So as far as I understand you need to binarize your image and look for connected areas. After that labelling the areas is needed and regionprops can be applied. In the example that I am sharing I usually need the widest area so I use a max. After that I get the bounding box as a rectangle with x, y, width and height. Then extracting the cropped image from the original is like getting a sub matrix from a matrix

bina=im2bw(img_gris,graythresh(img_gris)*0.7);
% Labelling
L=bwlabel(bina);
% Get area and boundingBox
prop=regionprops(L,{'Area','BoundingBox'});
% In my case I need the widest area
[m pam]=max([prop.Area]);
boundy = prop.BoundingBox;
% "roi" has widest area
roi=ismember(L,pam);%ismember:detetcs members of the group
SE=strel('disk',15,0);
roi=imdilate(roi, SE);
% % Multiplying original image with mask
img_gris= img_gris.*uint8(roi);
figure(1), imshow(img_gris), title('Imagen con BoundingBox');
hold on
rectangle('Position', boundy,...
  'EdgeColor','r', 'LineWidth', 3)
hold off
x = boundy(1);
y = boundy(2);
w = boundy(3);
h = boundy(4);
size(img_gris)
img_cut = img_gris(x:x+h,y:y+w); % Img Cutted or extrated from bounding box
figure(2), imshow(img_cut), title('recorte');