I have a signal having dimensions 500 rows and 10000 columns. I want to convert it to a unique image and extract features using GLCM in MATLAB. Any help regarding this?
% Assuming your signal is stored in a variable called 'signal' % Reshape the signal into a 2D matrix image = reshape(signal, 500, 10000); % Display the image imshow(image, []); % Calculate the GLCM glcm = graycomatrix(image); % Extract GLCM features stats = graycoprops(glcm);
def collapse_points_to_one_point(points):
total_points = len(points)
if total_points == 0:
return None
x_sum = sum(point[0] for point in points)
y_sum = sum(point[1] for point in points)
x_avg = x_sum / total_points
y_avg = y_sum / total_points
return x_avg, y_avg
# Example usage:
points_list = [(1, 2), (3, 4), (5, 6)]
collapsed_point = collapse_points_to_one_point(points_list)
print("Collapsed point:", collapsed_point)
In this example, if you run the code, it will output the average point as (3.0, 4.0) in this case, which represents the center of the original three points. Keep in mind that this method is suitable for 2D points; for higher-dimensional data, you would calculate the average for each coordinate axis accordingly.
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