Detection / Identification of a curve in an image
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Muskan Agrawal
am 23 Mai 2020
Beantwortet: Muskan Agrawal
am 26 Mai 2020
Well I need help in how to identify a curve in image.
Like we can use hough transform for lines and circles. Is there any function, which I can use for this purpose. I am attaching an image on which I have to work.
Please do help. The image has curves which I have to detect.
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Image Analyst
am 23 Mai 2020
Call bwlabel() to give each curve it's own unique ID number.
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Image Analyst
am 26 Mai 2020
You shouldn't have to do it manually with bwselect. bwlabel() does it for you. Look:
grayImage = imread('image.jpeg');
binaryImage = grayImage(:,:,1) > 200;
% Crop off huge white frame surrounding the image.
binaryImage = binaryImage(46:1058, 1094:1295);
subplot(1, 2, 1);
imshow(binaryImage);
fontSize = 15;
title('Binary Image', 'FontSize', fontSize);
% Label each blob with 8-connectivity, so we can make measurements of it
[labeledImage, numberOfBlobs] = bwlabel(binaryImage, 8);
% Apply a variety of pseudo-colors to the regions.
coloredLabelsImage = label2rgb (labeledImage, 'hsv', 'k', 'shuffle');
% Display the pseudo-colored image.
subplot(1, 2, 2);
imshow(coloredLabelsImage);
title('Labeled Image', 'FontSize', fontSize);
impixelinfo
% Get all the blob properties. Can only pass in originalImage in version R2008a and later.
blobMeasurements = regionprops(labeledImage, 'all');
numberOfBlobs = size(blobMeasurements, 1);
See, each individually colored connected region is one blob.
To get a histogram of orientations, do this:
allOrientations = [blobMeasurements.Orientation];
figure
numBins = 180;
histogram(allOrientations, numBins);
caption = sprintf('Histogram of %d Orientations', numberOfBlobs);
title(caption, 'FontSize', fontSize);
grid on;
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