how to cropt the image and save cropped part
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i have an image i wanted to crop a part of the image and save the cropped part as image can any one help me for cropping and saving the image
if(~isdeployed)
cd(fileparts(which(mfilename)));
end
clc; % Clear command window.
clear; % Delete all variables.
close all; % Close all figure windows except those created by imtool.
imtool close all; % Close all figure windows created by imtool.
workspace; % Make sure the workspace panel is showing.
fontSize = 16;
% Read in standard MATLAB gray scale demo image.
grayImage = imread('cameraman.tif');
subplot(2, 3, 1);
imshow(grayImage, []);
title('Original Grayscale Image', 'FontSize', fontSize);
set(gcf, 'Position', get(0,'Screensize')); % Maximize figure.
message = sprintf('Left click and hold to begin drawing.\nSimply lift the mouse button to finish');
uiwait(msgbox(message));
hFH = imfreehand();
% Create a binary image ("mask") from the ROI object.
binaryImage = hFH.createMask();
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回答(2 个)
KSSV
2016-12-5
I = imread('cameraman.tif');
[I2, rect] = imcrop(I);
imshow(I2) ;
imwrite(I2,'Example.jpg')
Extract the part you want, say it is I2. Using imwrite you can write the mage you want.
8 个评论
Image Analyst
2018-8-18
The code I gave was this.
for k = 1 : size(BB, 1)
face = imcrop(img, BB(k, :));
figure;
% subplot(6, 6, k);
imshow(face);
drawnow;
thisFileName = sprintf('Face #%d.png', k);
fullFileName = fullfile(pwd, thisFileName);
imwrite(face, fullFileName);
end
You'll see it if you click the "Show older comments" link above.
Aytaç Tok
2021-3-7
Hello there. I want to get an object in the rgb picture, how can I do that. For example, there is a banana on the table and the background is black. How can I get only the banana picture from the picture. ı dont want to take by boundingbox. I must take with border coordinates because ı need just object.There should be no background in the picture I'm waiting for your help.pleaseeee
6 个评论
Aytaç Tok
2021-3-10
The background is a problem because I will take only the banana object in this picture and operate on it.
Walter Roberson
2021-3-12
You cannot do that. The closest you can get is

with all of the boundary taken out. But you cannot get rid of the black part to the lower left, for example, because doing so would involve creating a "ragged" array where those black pixels literally do not exist even though pixels above or to their right exist.
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