Automatic cropping
2 views (last 30 days)
Show older comments
I have a cbir system and the output results depends on the cropping of the query image boundary and has to be the same as the cropping of the image boundary in the database. so i was wondering is there a way to crop an image automatically. e.g i do edge detection which gives outlines of the image. i want to crop a certain part of the image automatically. image is a numberplate i want automatic cropping of the image to only include the characters of the number plate and not any other extra little characters unless necessary if the letters mix in with the tiny characters.
an example would be good.
i.e.
this is the start of my code
a=imread(numberplate.jpg);
gr=rgb2gray(a);
bw=im2bw(gr);
edge=edge(bw,'canny',[0.15, 0.3])
crp=imcrop(edge)
This is manual i need automatic.
thanks
0 Comments
Answers (6)
Walter Roberson
on 8 Apr 2011
Do you have code now to detect the portion of the image which is the license plate?
0 Comments
Sean de Wolski
on 8 Apr 2011
Copy and paste that into a script||function and it'll be automatic.
16 Comments
LAXMI NARAYAN SONI
on 7 May 2017
Moved: DGM
on 11 Feb 2023
Yes this is the right way.... U also have to be use a loop.
Wolfgang Schwanghart
on 11 Apr 2011
You might find this function useful: http://www.mathworks.com/matlabcentral/fileexchange/25354-cropmat
HTH, Wolfgang
0 Comments
priya
on 20 Apr 2011
Edited: DGM
on 11 Feb 2023
I guess this should work... (not sure though). when you do imcrop() you should be able to right click and get the co-ordinates of the image which you have selected for croping.
%ime1 = findimage();
a=imread(numberplate.jpg);
gr=rgb2gray(ime1);
% BW=im2bw(gr);
edit=edge(gr,'canny',[0.15, 0.3])
im1 = imcrop(edit,[100.5 101.5 456 87]); imshow(im1);
0 Comments
LAXMI NARAYAN SONI
on 7 May 2017
Edited: Walter Roberson
on 14 May 2017
if u have a yellow color no. plate then u can use color based cropping... ike u can crop only yellow color. as simple as that.
clc
clear all
close all
a = imread('car3.jpg');
%b=imshow(a)
red = a(:,:,1);
green = a(:,:,2);
blue = a(:,:,3);
figure,imshow(red);
figure,imshow(green);
figure,imshow(blue);
%d = impixel(a);
i=size(a)
for c=0:i
if a(:,:,1)>13 or <255
if a(:,:,2)>0 or <201
if a(:,:,3)>0 or <104
d = imcrop(a);
figure,imshow(d)
end
end
end
end
1 Comment
DGM
on 11 Feb 2023
Edited: DGM
on 12 Feb 2023
It's a good thing that code isn't even valid, because even in concept, it would accomplish nothing worth the cost of execution.
Consider a 1000x1000x3 RGB image. For each element in the array, you ostensibly want to:
- test to see if the entire image is within a prismatic volume within the RGB color space
- if it is, display the full image in a window and request that the user interactively select a region with the mouse, right click, and then select "crop image" from a dropdown menu
- display the cropped region and then discard it
So either the first test fails and the code does literally nothing but spend time warming your CPU, or you're going to make the user do the exact same manual task three million times. Like I said, it's a good thing that it's not valid syntax.
Samreen kayani
on 9 Jan 2019
i want to segment each letter individually but bounding box divid 1 into 11 instead of 1.12 my answere is 11.112
0 Comments
See Also
Categories
Find more on Image Segmentation and Analysis in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!