How to find the inner contour of myocardium by using region growing
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Hello everybody! Wish you have a good day. I want to use region growing to automatically find the inner contour of the myocardium, is this possible? Here is the orignal image:
and here is what I want:
the code I am using is:
function [l,s] = growcut(image,labels)
img = double(image);
si = size(image);
sl = size(labels);
assert(numel(unique(labels))==3,...
'labels must be comprised of -1, 0, 1');
assert(all(sl(1:2)==si(1:2)),...
'labels and image must be the same size');
[l s] = growcutmex(img,labels);
load test_data
subplot(2,2,1), imshow(img); title('Image'); subplot(2,2,2), imshow(labels,[]); title('Seeds');
[labels_out, strengths] = growcut(img,labels); labels_out = medfilt2(labels_out,[9,9]);
subplot(2,2,3), imshow(img); hold on; contour(labels_out,[0 0],'g','linewidth',4); contour(labels_out,[0 0],'k','linewidth',2); hold off; title('Output');
subplot(2,2,4), imshow(labels_out); title('Binary Output');
I always met some problems, and the code cannot work, just like:
Error using growcut (line 21) Not enough input arguments. or
Undefined function 'growcutmex' for input arguments of type 'double'.
Error in growcut (line 29) [l s] = growcutmex(img,labels);
Error in test (line 8) [labels_out, strengths] = growcut(img,labels);
Could you please help me to find the problem or modify the code? Best regards
采纳的回答
Image Analyst
2015-3-18
0 个投票
Region growing? Why would you want to use that method? Did someone recommend it? This does not look like a situation where region growing is needed. In fact it could even make it worse. If the tolerance is high enough, the region could "jump across" the black or white surround and capture some stuff you don't want. And if the tolerance is small, then you're basically doing thresholding like the method I recommended in your first, related question: http://www.mathworks.com/matlabcentral/answers/183551-how-to-find-the-inner-contour-of-the-myocardium#comment_272631
更多回答（1 个）
Christiaan
2015-3-18
编辑：Christiaan
2015-3-18
Dear Neil,
The MATLAB function imfindcircles can find circles for you. The diameter and center also is given. If you know the size of the image (in meters) you can convert the radius of the cell in a length.
clc;clear all;close all
figure(1)
A = imread('imagecircle.jpg');imshow(A);
level = graythresh(A);BlackWhite = im2bw(A, 0.2);
[centers, radii, metric] = imfindcircles(BlackWhite,[25 100],'Sensitivity',0.92)
[a1 a2]= max(radii)
viscircles(centers, radii,'EdgeColor','b')
Good Luck! Christiaan
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