Sac*_*k11 5 algorithm matlab image-processing computer-vision matlab-figure
我有一个来自矩阵的 matlab 图像,命名Two_dim
如下图所示。
我想从图像中删除所有 3 条底部的水平直线。我查看了regionprops
用于消除水平线的Stackoverflow并获得了此代码。但这似乎并没有消除这些线条。
rp = regionprops(Two_dim, 'PixelIdxList', 'Eccentricity', 'Orientation');
rp = rp([rp.Eccentricity]>0.95 & (abs([rp.Orientation])<2 | abs([rp.Orientation])>89));
Two_dim(vertcat(rp.PixelIdxList)) = false;
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这是使用霍夫变换方法的答案。稍后我将在下面的代码中添加更多解释:
% I crop only the intresting part for illustration:
BW = edge(Two_dim(1:1000,:),'canny');
subplot 131
imagesc(Two_dim(1:1000,:))
title('Original image')
axis xy
[H,theta,rho] = hough(BW); % preform Hough transform
subplot 132
P = houghpeaks(H,10,'NHoodSize',[1 1]); % find the peaks in the transformation
lines_found = houghlines(BW,theta,rho,P,...
'FillGap',50,'MinLength',1); % convert the peaks to line objects
imagesc(Two_dim(1:1000,:)), hold on
result = Two_dim(1:1000,:);
for k = 1:length(lines_found)
% extract one line:
xy = [lines_found(k).point1; lines_found(k).point2];
% Plot the detected lines:
plot(xy(:,1),xy(:,2),'LineWidth',1,'Color','green');
% remove the lines from the image:
% note that I take a buffer of 3 to the 'width' of the line
result(xy(1,2):xy(1,2)+3,xy(1,1):xy(2,1)) = 0;
end
title('Detected lines')
axis xy
subplot 133
imagesc(result)
title('Corrected image')
axis xy
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输出: