what is wrong with my code

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cem yanbul
cem yanbul le 17 Juin 2021
Commenté : cem yanbul le 14 Mai 2022
1-Write the program that determines the number of balloons in the picture below and the green rectangle around each balloon in the picture.
Bal=imread('ballons.jpg');
B=Bal(:,:,3);
d1x = [1 0 -1];
d1y = [1;0-1];
Bx = conv2(B,d1x,'same');
By = conv2(B,d1y,'same');
J = sqrt((Bx.^2)+(By.^2));
K = J>25;
L = imclearborder(K);
K=edge(K, 'Canny');
M = imfill(L,'holes');
N = bwareaopen(M,350);
figure, imshow(Bal);
stats = regionprops(N, 'BoundingBox', 'Centroid');
hold on;
for object = 1:length(stats)
bb = stats(object).BoundingBox;
bc = stats(object).Centroid;
rectangle('Position',bb,'EdgeColor','g','LineWidth',2)
plot(bc(1),bc(2), '')
end
hold off
area = sum(sum(N))
O = bwmorph(N,'remove');
perimeter = sum(sum(O))
[B,L] = bwboundaries(N,'noholes');
hold on
[row,col] = find(N==1);
[a,b] = size(N);
mask = false(a,b);
mask(min(row):max(row),min(col):max(col)) = 1;
mask = bwperim(mask,8);
mask = imdilate(mask,strel('square',4));
R = Bal(:,:,1);
G = Bal(:,:,2);
B = Bal(:,:,3);
R(mask) = 255;
G(mask) = 255;
B(mask) = 0;
RGB = cat(3,R,G,B);
hsv=rgb2hsv(Bal);
v=hsv(:,:,3);
range=[50 600]/750;
mask=(v>range(1)) & (v<range(2));
mask=imcomplement(mask);
se=strel('disk',2);
mask=imerode(mask,se);
mask=bwareaopen(mask,20);
[info, total]=bwlabel(mask);
mrk=regionprops(mask,'centroid');
XY=cat(1,mrk.Centroid);
hold on;
title(['All balons numbers : ',num2str(total)]);
B= double(rgb2gray(Bal));
d1x = [-1 0 1];
d1y = [-1;0;1];
Bx = conv2(B,d1x,'same');
By = conv2(B,d1y,'same');
J = sqrt((Bx.^2)+(By.^2));
K = J>50;
L = imclearborder(K);
M = imfill(L,'holes');
N = bwareaopen(M,6000);
[row,col] = find(N==1);
  3 commentaires
Image Analyst
Image Analyst le 18 Juin 2021
I doubt that would work. Did you try the way I suggested below?
cem yanbul
cem yanbul le 18 Juin 2021
i will

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Image Analyst
Image Analyst le 17 Juin 2021
I'd start by using the Color Thresholder in HSV space to find green, then mask out the grass. Then I'd convert to HSV color space and look for blobs that have high S value. Use imclose() on the mask to merge together blobs that are not quite touching though they should be. Use bwareafilt() to get only those in a certain size range. Then call regionprops(mask, 'BoundingBox') and finally put in a loop where you call rectangle().
Attach your code if you need any more help.
  1 commentaire
cem yanbul
cem yanbul le 14 Mai 2022
thanks

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