- Pre-process the image by converting it to grayscale, binarizing it, and removing noise.
- Use edge detection and skeletonization to find and thin the outlines of the strokes.
- Trace the contours of the strokes and analyze their curvature to distinguish between straight and curved segments.
- Label and classify the different strokes based on features such as length and curvature.
- Visualize the separated strokes for verification.
Separate strokes from a gesture
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I have to separate individual strokes from a gesture like curved line and straight line from numeral "2". How to do it?
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Pratyush
2024 年 2 月 14 日
Hi Shweta,
To separate individual strokes from a gesture like the numeral "2" in MATLAB, follow these steps:
Here's an example MATLAB code for these steps:
% Load and preprocess the image
img = imread('numeral2.png');
grayImg = rgb2gray(img);
binaryImg = imbinarize(grayImg);
cleanImg = bwareaopen(binaryImg, 30);
% Edge detection and skeletonization
edges = edge(cleanImg, 'canny');
skeleton = bwmorph(edges, 'thin', Inf);
% Find contours and separate strokes
[contours, ~] = bwboundaries(skeleton, 'noholes');
for i = 1:length(contours)
contour = contours{i};
% Analyze contour for curvature and classify (code for analysis not included)
% Visualize the contour
figure; imshow(skeleton); hold on;
plot(contour(:,2), contour(:,1), 'g', 'LineWidth', 2);
end
The actual curvature analysis and classification logic are not included and would need to be implemented based on your specific requirements.
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