Effacer les filtres
Effacer les filtres

how to draw a rectangle to identify character

3 vues (au cours des 30 derniers jours)
ahmed
ahmed le 29 Mar 2014
Commenté : Rik le 14 Juil 2021
This code to draw a rectangle to identify character that I had found (overlay the template in a target).
[name,path] = uigetfile('*.jpg');
image1 = imread([path,name]);
[name,path] = uigetfile('*.jpg');
image2 = imread([path,name]);
if size(image1,3)==3
image1=rgb2gray(image1);
end
if size(image2,3)==3
image2=rgb2gray(image2);
end
% check which one is target and which one is template using their size
if size(image1)>size(image2)
Target=image1;
Template=image2;
else
Target=image2;
Template=image1;
end
% find both images sizes
[r1,c1]=size(Target);
[r2,c2]=size(Template);
% mean of the template
image22=Template-mean(mean(Template));
%corrolate both images
corrMat=[];
for i=1:(r1-r2+1)
for j=1:(c1-c2+1)
Nimage=Target(i:i+r2-1,j:j+c2-1);
Nimage=Nimage-mean(mean(Nimage)); % mean of image part under mask
corr=sum(sum(Nimage.*image22));
corrMat(i,j)=corr;
end
end

Réponses (3)

Image Analyst
Image Analyst le 29 Mar 2014
That's a dangerous way to use size(). Looks like someone needs to read Steve's blog on the use of the size function.
Anyway, I'm not sure what your question is. Do you want to draw a rectangle in the overlay above the image? If so, use plot() or rectangle().
  2 commentaires
Image Analyst
Image Analyst le 29 Mar 2014
Modifié(e) : Image Analyst le 29 Mar 2014
Anyway, you can't find a template in a target by correlation, at least not robustly. Think about it and if you don't know why, ask. You'll need to use normalized cross correlation, as shown in my attached demo.
raha boolat
raha boolat le 14 Juil 2021
It was a wonderful program. Bravo

Connectez-vous pour commenter.


ahmed
ahmed le 29 Mar 2014
Modifié(e) : ahmed le 29 Mar 2014
i want to draw a rectangle in a overlay the full image illuster to identify the character
  1 commentaire
Image Analyst
Image Analyst le 30 Mar 2014
Invert your image so that the letters are white and then run the normalized cross correlation code I gave you.

Connectez-vous pour commenter.


raha boolat
raha boolat le 14 Juil 2021
Modifié(e) : Rik le 14 Juil 2021
function obj_det(img_name)
f=imread (img_name);
if (size(f,3) >1)
f=rgb2gray(f);
f_bw=~im2bw(f,graythresh(f));
else
f_bw=~im2bw(f,graythresh(f));
end
f_bw=imfill(f_bw,'holes');
s=bwconncomp(f_bw);
imshow(f);
for i=1:s.NumObjects
ind=s.PixelIdxList{i};
[r,c]=ind2sub(size(f),ind);
min_r=min(r,[],1);
max_r=max(r,[],1);
min_c=min(c,[],1);
max_c=max(c,[],1);
hy=max_r - min_r;
hx=max_c - min_c;
rectangle('position',[min_c,min_r,hx,hy],'EdgeColor','r');
end
end
  1 commentaire
Rik
Rik le 14 Juil 2021
@raha boolat This time I edited your answer for you. Next time, please use the tools explained on this page to make your posts more readable.

Connectez-vous pour commenter.

Catégories

En savoir plus sur Image Processing Toolbox dans Help Center et File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by