How to find the inner contour of myocardium by using region growing

2 次查看（过去 30 天）
Neil Liu
Neil Liu 2015-3-18
评论： Image Analyst 2015-3-19
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

请先登录，再回答此问题。

采纳的回答

Image Analyst
Image Analyst 2015-3-18
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
  2 个评论
Neil Liu
Neil Liu 2015-3-18
Thank you! But actually I don't know how to threshold it in an appropriate way. "then get rid of blobs touching the border with imclearborder()" I cannot realize this step well. Could you please give me some help?

请先登录，再进行评论。

更多回答（1 个）

Christiaan
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
  1 个评论
Neil Liu
Neil Liu 2015-3-18
Thank you for answering me, Christiaan! Actually I just need the inner contour, I have found how to find the outer contour. "imfindcircles' is good but it can just find a regular circle

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Image Thresholding 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by