MATLAB根据基本全局阈值算法的基本思想，编写函数basic_threshold，并任意读取一幅医学图像测试代码

下面是一个基于基本全局阈值算法的MATLAB函数basic_threshold的代码：

function output_image = basic_threshold(input_image, threshold_value)
%BASIC_THRESHOLD Basic global thresholding algorithm implementation
%   This function implements the basic global thresholding algorithm, which
%   thresholds an input image into a binary image based on a threshold value.
%   Pixels with intensities lower than the threshold value are set to 0
%   (black), while pixels with intensities greater than or equal to the
%   threshold value are set to 1 (white).
%
%   INPUTS:
%       input_image - the input grayscale image to be thresholded
%       threshold_value - the threshold value to use for the thresholding
%
%   OUTPUTS:
%       output_image - the binary thresholded image

% Convert the input image to double precision for numerical calculations
input_image = im2double(input_image);

% Threshold the input image into a binary image using the threshold value
output_image = input_image >= threshold_value;
end

你可以使用该函数来对任意一张医学图像进行基本全局阈值算法的阈值处理。例如，假设你有一张名为```medical_image.png```的医学图像，你可以使用以下代码来读取该图像并进行基本全局阈值算法的阈值处理：

% Read in the input medical image
input_image = imread('medical_image.png');

% Apply basic global thresholding with a threshold value of 0.5
threshold_value = 0.5;
output_image = basic_threshold(input_image, threshold_value);

% Display the input and output images side-by-side for comparison
figure();
subplot(1, 2, 1);
imshow(input_image);
title('Input Image');
subplot(1, 2, 2);
imshow(output_image);
title('Thresholded Image');