how can i remove white spaces around this image ?

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Israa Alqaraleh 2017-6-26

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https://ww2.mathworks.cn/matlabcentral/answers/346236-how-can-i-remove-white-spaces-around-this-image

评论： Image Analyst 2017-6-27

采纳的回答： Gopichandh Danala

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Gopichandh Danala 2017-6-26

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https://ww2.mathworks.cn/matlabcentral/answers/346236-how-can-i-remove-white-spaces-around-this-image#answer_272031

在 MATLAB Online 中打开

img = imread('whiteBG.jpg');
img = rgb2gray(img);
figure, imshow(img)
% count the pixels of each bin
[counts, bins] = imhist(img);
[M, I] = max(counts);
tempImg = img;
% we know that max pixels in image are white so change all pxiels in that
% bin and above to zero
tempImg(img >= bins(I)-1) = 0;
figure, imshow(tempImg)
% clear some traces or blobs having area less than 30 pixels ...
% (can change according to requirement)
BW = bwareaopen(tempImg,30);
figure, imshow(BW)

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Israa Alqaraleh 2017-6-27

i will try it thank you

Israa Alqaraleh 2017-6-27

the results good for this image but when I applied it on another image it didn't work will !

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Image Analyst 2017-6-27

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It looks reasonably well cropped right now. Why do you need to chop off a few pixels more? What's the need? I think you can do what you need to do without cropping to the bounding box, so why bother?

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Israa Alqaraleh 2017-6-27

I tried to use hough before i think I have a problem using it .

clc ; close all ; img = imread('ko.jpg'); img = rgb2gray(img); % count the pixels of each bin [counts, bins] = imhist(img); [M, I] = max(counts); tempImg = img; % we know that max pixels in image are white so change all pxiels in that % bin and above to zero tempImg(img >= bins(I)-1) = 0; figure(1), imshow(tempImg) % clear some traces or blobs having area less than 30 pixels ... % (can change according to requirement) BW = bwareaopen(tempImg,30); figure(2), imshow(BW);

%% rotate the bwf image by theta angle using hough transform se = strel('line',30,0); bb1 = imdilate(BW,se); bb1= bwmorph(bb1,'thin',Inf); [H,T,R] = hough(bb1,'RhoResolution',0.5,'ThetaResolution',0.5); P = houghpeaks(H,1); x = T(P(:,2)); y = R(P(:,1)); lines = houghlines(bb1,T,R,P,'FillGap',5,'MinLength',20);

what next ?