Extracting useful information from ultrasound image.

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Priscil23
Priscil23 2020-1-14
I have an ultrasound image of two cysts and I would like to extract information of just the two cysts from the image. Using BW is okay.
I used the code below:
%% Read Image
RGB = imread('US11.jpg');
%% Thresholding the Image
I = rgb2gray(RGB);
bw = imbinarize(I);
imshow(bw)
%% Removing the Noise
% remove all object containing fewer than 30 pixels
bw = bwareaopen(bw,350);
% fill a gap in the image
se = strel('disk',0.1);
bw = imclose(bw,se);
%% Finding the Boundaries
[B,L] = bwboundaries(bw,'noholes');
% Display the label matrix and draw each boundary
imshow(label2rgb(L, @jet, [.5 .5 .5]))
hold on
for k = 1:length(B)
boundary = B{k};
plot(boundary(:,2), boundary(:,1), 'w', 'LineWidth', 2)
end
%% Determine which Objects are Round
stats = regionprops(L,'Area','Centroid');
threshold = 0.95;
% loop over the boundaries
for k = 1:length(B)
% obtain (X,Y) boundary coordinates corresponding to label 'k'
boundary = B{k};
% compute a simple estimate of the object's perimeter
delta_sq = diff(boundary).^2;
perimeter = sum(sqrt(sum(delta_sq,2)));
% obtain the area calculation corresponding to label 'k'
area = stats(k).Area;
% compute the roundness metric
metric = 4*pi*area/perimeter^2;
% display the results
metric_string = sprintf('%2.2f',metric);
% mark objects above the threshold with a black circle
if metric > threshold
centroid = stats(k).Centroid;
plot(centroid(1),centroid(2),'ko');
end
I have attached the image along with this this.
It will be helpful if someone could teach me.
US11.jpg

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