what is wrong with my code

1 visualización (últimos 30 días)
cem yanbul
cem yanbul el 17 de Jun. de 2021
Comentada: cem yanbul el 14 de Mayo de 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 comentarios
Image Analyst
Image Analyst el 18 de Jun. de 2021
I doubt that would work. Did you try the way I suggested below?
cem yanbul
cem yanbul el 18 de Jun. de 2021
i will

Iniciar sesión para comentar.

Respuesta aceptada

Image Analyst
Image Analyst el 17 de Jun. de 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.

Más respuestas (0)

Categorías

Más información sobre Image Data Workflows en Help Center y File Exchange.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by