hysteresis on image in matlab

In order to perform hysteresis on an image in MATLAB, you will first need to perform an edge detection operation on the image. Once the edges have been detected, you can apply hysteresis to them in order to filter out false detections and improve the accuracy of your results.

Here is a code snippet that demonstrates how to perform hysteresis on an image in MATLAB:

main.m
% Load sample image
img = imread('sample_image.jpg');

% Perform edge detection on the image
edged = edge(img, 'Canny');

% Set the hysteresis thresholds
T1 = 0.1;
T2 = 0.3;

% Apply hysteresis to the edges
hyst = edge(edged, 'Canny', [T1 T2]);

% Display the original image and the hysteresis results
subplot(1, 2, 1), imshow(img), title('Original Image');
subplot(1, 2, 2), imshow(hyst), title('Hysteresis Results');
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In this example, we first load a sample image and then perform Canny edge detection on it using the edge function in MATLAB. We then set the hysteresis thresholds T1 and T2 and apply hysteresis to the edges using the edge function again. Finally, we display both the original image and the hysteresis results side-by-side using the subplot and imshow functions.

Note that the specific values of T1 and T2 will depend on your specific application and the characteristics of the image you are working with. You may need to experiment with different values to achieve the desired results.