How to write the name of Objects in the image after recognition of them.

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Hello Every one! I hope you are doing well.
I have written a code to detect coins in an image, and at last I want to write a text on each of these objects (coins). But I confront error. can anyone help me please. the code I have written is here:
pic = imread('coins.png');
I = rgb2gray(pic);
imshow(I)
bw = imbinarize(I);
figure; imshow(bw)
bw = bwareaopen(bw, 500);
figure; imshow(bw)
se = strel('disk', 2);
bw = imclose(bw, se);
bw = imfill (bw, 'holes');
figure; imshow(bw);
[r, n] = bwlabel(bw);
prop = regionprops(bw,{'Area','centroid'});
%props =struct2table(props);
Dollor1=0;
Dollor2=0;
for i=1:n
if propsarea.Area(i)<2000
rgb = insertText(I,[prop.Centrod(i,1) prop.Centroid(i,2)],'1 Dollor',0.2, 'FontSize',12,'TextColor','black');
Dollor1=Dollor1+1;
elseif propsarea.Area(i)>2000
rgb = insertText(I,[prop.Centroid(i,1) prop.Centrod(i,2)],'2 Dollors',0.2 ,'FontSize',12,'TextColor','black');
Dollor2=Dollor2+1;
end
end
figure; imshow(rgb)

Respuesta aceptada

KALYAN ACHARJYA
KALYAN ACHARJYA el 11 de Dic. de 2020
Editada: KALYAN ACHARJYA el 11 de Dic. de 2020
#Modified
prop = regionprops('table',bw,{'Area','centroid'});
% Modified here......^
Dollor1=0;
Dollor2=0;
for i=1:n
if prop.Area(i)<2000
%position=[prop.Centroid(i,1),prop.Centroid(i,2)];
position=[1 5;7 6;9 10];%sample example
rgb = insertText(I,position,'Dollor', 'FontSize',12,'TextColor','black');
Dollor1=Dollor1+1;
elseif prop.Area(i)>2000
%position=[prop.Centroid(i,1),prop.Centroid(i,2)];
position=[1 5;7 6;9 10]; %sample Example
rgb = insertText(I,position,'Dollors','FontSize',12,'TextColor','black');
Dollor2=Dollor2+1;
else
end
end
figure; imshow(rgb)
Please note that I have test the code with position sample example, here you have to define the 3 coordinates for the text box. Following result reflects only two numbers, ??
>> [prop.Centroid(i,1),prop.Centroid(i,2)]
ans =
265.7967 102.6094
Here
prop =
10×2 table
Area Centroid
____ ________________
2651 37.152 106.72
1854 56.145 49.862
2680 96.201 146.09
1810 110.06 84.928
2753 120.36 208.67
2510 148.56 34.44
2594 174.82 119.97
2544 216.93 70.792
1893 236.07 173.37
1864 265.8 102.61
Hope the remaining work (Postions of the text box) you can do that.
  3 comentarios
Fafa Teligence
Fafa Teligence el 11 de Dic. de 2020
https://uk.mathworks.com/matlabcentral/answers/690970-how-to-extract-lbp-lpq-ltp-features-from-an-image-in-matlab
I would appreciate it if you could help me with this problem in the link.

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