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我有一堆皮質骨圖像,高分辨率和二值化。我如何去計算每個圖像的平均內徑和外徑?以下是圖像的種類,我需要處理的一個例子: 如何計算MATLAB環的半徑?
我有一堆皮質骨圖像,高分辨率和二值化。我如何去計算每個圖像的平均內徑和外徑?以下是圖像的種類,我需要處理的一個例子: 如何計算MATLAB環的半徑?
這可能是一個辦法 -
%// Read in image and conert to binary
im = im2bw(imread('http://s9.postimg.org/aew1l7tvz/4_COPY_copy.png'));
figure, imshow(im), title('Original Image')
%// Fill holes giving us the "outer blob"
outer_blob = imfill(im,'holes');
outer_blob = biggest_blob(outer_blob); %// remove noise
figure, imshow(outer_blob), title('Outer Blob')
%// Get the inner filled blob by "removing" the original image from outer blob
inner_blob = outer_blob & ~im;
inner_blob = biggest_blob(inner_blob); %// remove noise
figure, imshow(inner_blob), title('Inner Blob')
%// Find the equivalent/mean inner and outer radii
inner_dia = regionprops(inner_blob,'Equivdiameter');
inner_radius = inner_dia.EquivDiameter/2
outer_dia = regionprops(outer_blob,'Equivdiameter');
outer_radius = outer_dia.EquivDiameter/2
相關的功能碼 -
function out = biggest_blob(BW)
%// Find and labels blobs in the binary image BW
[L, num] = bwlabel(BW, 8);
%// Count of pixels in each blob, basically this should give the area of each blob
counts = sum(bsxfun(@eq,L(:),1:num));
%// Get the label(ind) cooresponding to blob with the maximum area
%// which would be the biggest blob
[~,ind] = max(counts);
%// Get only the logical mask of the biggest blob by comparing all labels
%// to the label(ind) of the biggest blob
out = (L==ind);
return;
代碼運行和調試圖片 -
inner_radius =
211.4740
outer_radius =
267.8926
非常感謝您的快速回復和詳細解答。 – 2015-02-10 09:46:04
我開始通過計算在x和y方向上的白色像素的質心。我想我需要這個來計算中心與骨骼內外周之間的距離。 – 2015-02-09 10:25:21