c# – 图像分析 – 光纤识别

我是图像分析的新手.你是否知道如何以这种方式将这种图像二值化以获得光纤?

我尝试了不同的门限技术等,但我没有成功.我不介意我应该使用什么工具,但我更喜欢.NET或Matlab.

PS:我不知道在哪里提出答案,所以我把它放在StackOverflow上.

最佳答案
基于这些评论,您似乎无法将提出的Mathematica解决方案转换为MATLAB.这是我的尝试:

@Nakilon解决方案

%# read image
I = im2double(imread('http://i.stack.imgur.com/6KCd1.jpg'));

%# ImageAdjust[]
II = I;
for k=1:size(II,3)
    mn = min(min( II(:,:,k) )); mx = max(max( II(:,:,k) ));
    II(:,:,k) = ( II(:,:,k) - mn ) ./ (mx-mn);
end

%# Sharpen[]
II = imfilter(II, fspecial('unsharp'));

%# MinDetect[], MaxDetect[]
II = rgb2gray(II);
mn = imextendedmin(II,0.3,8);
mx = imextendedmax(II,0.7,8);

%# pad image because Mathematica handles border cases differently than MATLAB
pad = 30;
q = padarray(mn, [pad pad], 'symmetric', 'both');

q = medfilt2(q, [5 5]*2+1, 'symmetric');                 %# MedianFilter[]
q = ordfilt2(q, 1, ones(2*5+1), 'symmetric');            %# MinFilter[]
q = ordfilt2(q, (25*2+1)^2, ones(25*2+1), 'symmetric');  %# MaxFilter[]
q = ordfilt2(q, 1, ones(20*2+1), 'symmetric');           %# MinFilter[]

%# un-pad image
q = q(pad+1:end-pad, pad+1:end-pad, :);

%# ImageSubtract[], ImageMultiply[], ImageAdd[]
a = imsubtract(mn,q)==1;    %# a = mn; a(q) = false;
b = immultiply(mx,q);       %# b = mx & q;
c = imadd(a,b);             %# c = a | b;

%# show images
figure(1)
subplot(121), imshow(mn)
subplot(122), imshow(mx)
figure(2), imshow(q)
figure(3)
subplot(121), imshow(a)
subplot(122), imshow(b)
figure(4), imshow(c)

请注意,边缘存在差异.在Mathematica文档中,它模糊地说:

At the edges of an image, MedianFilter/MinFilter/MaxFilter uses smaller neighborhoods.

但是这种行为没有直接匹配,而是MATLAB为您提供了在图像边界自定义填充的选项.

@belisarius解决方案

%# read image
I = im2double(imread('http://i.stack.imgur.com/6KCd1.jpg'));

%# LaplacianGaussianFilter[]
II = imfilter( I , fspecial('log', [2 2]*2+1, (2*2+1)/2) );

%# ImageAdjust[]
for k=1:size(II,3)
    mn = min(min( II(:,:,k) )); mx = max(max( II(:,:,k) ));
    II(:,:,k) = ( II(:,:,k) - mn ) ./ (mx-mn);
end

%# Binarize[]
BW = im2bw(II, 0.6);

%# DeleteSmallComponents[]
BW = bwareaopen(BW, 2, 8);

%# show images
figure
subplot(121), imshow(BW)
subplot(122), imshow( imoverlay(I,BW,[0 1 0]) )

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