what is wrong with my code

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cem yanbul
cem yanbul il 17 Giu 2021
Commentato: cem yanbul il 14 Mag 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 Commenti
Image Analyst
Image Analyst il 18 Giu 2021
I doubt that would work. Did you try the way I suggested below?
cem yanbul
cem yanbul il 18 Giu 2021
i will

Accedi per commentare.

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Image Analyst
Image Analyst il 17 Giu 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.

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