【交互式阈值二进制图像】采用彩色或单色图像通过交互/手动方式阈值单色图像或彩色图像的单个色带研究（Matlab代码实现）

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📋📋📋本文目录如下：🎁🎁🎁

目录

💥1 概述

📚2 运行结果

🎉3 参考文献

🌈4 Matlab代码实现

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💥1 概述

【交互式阈值二进制图像】采用彩色或单色图像通过交互/手动方式阈值单色图像或彩色图像的单个色带

本文介绍了一种交互式阈值二进制图像的方法。该方法可以应用于彩色或单色图像，并且允许用户通过滑块的方式以交互/手动的方式设置图像的阈值范围。

阈值图像是一种二进制图像，可以用作其他图像的遮罩图像。在阈值范围内的像素将在中间图像中显示为二进制图像（黑/白），而原始图像的像素将在左侧图像中显示为遮罩（灰度或彩色）。用户可以通过设置最大和最小阈值来调整阈值范围，从而实现对图像的二值化处理。

该方法的输入包括要开始的低阈值和高阈值，以及图像文件名或图像矩阵。可以处理的图像类型包括整数类型（如uint8、uint16等）和浮点类型（如单精度、双精度）。

该方法的输出包括阈值范围和用于选择阈值的最后一个色带。用户可以根据自己的需求选择合适的阈值范围，并通过调整滑块来实现图像的二值化处理。

通过使用交互式阈值二进制图像的方法，用户可以更加灵活地处理彩色或单色图像，并根据需要调整阈值范围，从而得到满足自己需求的二值化图像。该方法具有简单、直观的操作界面，适用于各种图像处理应用场景。

📚2 运行结果

部分代码：

% Read in a standard MATLAB gray scale demo image.
folder = fileparts(which('cameraman.tif')); % Determine where demo folder is (works with all versions).
baseFileName = 'cameraman.tif';
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
	% File doesn't exist.  Try it without the folder.
	% It might be able to find it in a folder off the search path.
	fullFileName = baseFileName;
	if ~exist(fullFileName, 'file')
		% Can't find it off the search path either.
		errorMessage = sprintf('Error: cannot find demo image %s', baseFileName);
		uiwait(msgbox(errorMessage));
		return;
	end
end
grayImage = imread(fullFileName);
% Get the dimensions of the image.  numberOfColorBands should be = 1.
[rows, columns, numberOfColorBands] = size(grayImage);
 
% Display the original gray scale image.
subplot(2, 3, 1);
imshow(grayImage, []);
axis off;
title('Original Grayscale Image', 'FontSize', fontSize);
% Set up figure properties.
set(gcf, 'Name', 'Thresholding Demo by ImageAnalyst', 'NumberTitle', 'off') 
set(gcf, 'Toolbar', 'none', 'Menu', 'none');
set(gcf, 'Position', get(0,'Screensize')); % Enlarge figure to full screen.
 
message = sprintf('Thresholding demo by ImageAnalyst.\n\nDo you want to use an integer image or a floating point image?');
button = questdlg(message, 'Image Type?', 'Integer', 'Floating Point', 'Cancel', 'Integer');
drawnow;	% Refresh screen to get rid of dialog box remnants.
if strcmpi(button, 'Cancel')
	close(gcf);	% Get rid of window.
	return;
end
if strcmpi(button, 'Floating Point')
	% Convert to double in the range -5000 to + 15000
	% Get input min and max.
	minGL = double(min(grayImage(:)));
	maxGL = double(max(grayImage(:)));
	% Scale the image
	imageToThreshold = 20000 * mat2gray(grayImage) - 5000;
	% Verify them
	minDblGL = min(imageToThreshold(:));
	maxDblGL = max(imageToThreshold(:));
	fprintf('Before scaling, min gray level = %.1f, max gray level = %.1f\nAfter scaling,  min gray level = %.1f, max gray level = %.1f\n', ...
		minGL, maxGL, minDblGL, maxDblGL);
	startingLowThreshold = -800;
	startingHighThreshold = 10400;
	% Get the histogram
	[pixelCount, grayLevels] = hist(imageToThreshold(:), 300);
	subplot(2, 3, 2); 
	bar(grayLevels, pixelCount, 'BarWidth', 1, 'FaceColor', 'b');
	title('Histogram of Original Double Image', 'FontSize', fontSize);
	xlim([minDblGL, maxDblGL]); % Scale x axis manually.

% Read in a standard MATLAB gray scale demo image.
folder = fileparts(which('cameraman.tif')); % Determine where demo folder is (works with all versions).
baseFileName = 'cameraman.tif';
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
    % File doesn't exist.  Try it without the folder.
    % It might be able to find it in a folder off the search path.
    fullFileName = baseFileName;
    if ~exist(fullFileName, 'file')
        % Can't find it off the search path either.
        errorMessage = sprintf('Error: cannot find demo image %s', baseFileName);
        uiwait(msgbox(errorMessage));
        return;
    end
end
grayImage = imread(fullFileName);
% Get the dimensions of the image.  numberOfColorBands should be = 1.
[rows, columns, numberOfColorBands] = size(grayImage);

% Display the original gray scale image.
subplot(2, 3, 1);
imshow(grayImage, []);
axis off;
title('Original Grayscale Image', 'FontSize', fontSize);
% Set up figure properties.
set(gcf, 'Name', 'Thresholding Demo by ImageAnalyst', 'NumberTitle', 'off') 
set(gcf, 'Toolbar', 'none', 'Menu', 'none');
set(gcf, 'Position', get(0,'Screensize')); % Enlarge figure to full screen.

message = sprintf('Thresholding demo by ImageAnalyst.\n\nDo you want to use an integer image or a floating point image?');
button = questdlg(message, 'Image Type?', 'Integer', 'Floating Point', 'Cancel', 'Integer');
drawnow;    % Refresh screen to get rid of dialog box remnants.
if strcmpi(button, 'Cancel')
    close(gcf);    % Get rid of window.
    return;
end
if strcmpi(button, 'Floating Point')
    % Convert to double in the range -5000 to + 15000
    % Get input min and max.
    minGL = double(min(grayImage(:)));
    maxGL = double(max(grayImage(:)));
    % Scale the image
    imageToThreshold = 20000 * mat2gray(grayImage) - 5000;
    % Verify them
    minDblGL = min(imageToThreshold(:));
    maxDblGL = max(imageToThreshold(:));
    fprintf('Before scaling, min gray level = %.1f, max gray level = %.1f\nAfter scaling,  min gray level = %.1f, max gray level = %.1f\n', ...
        minGL, maxGL, minDblGL, maxDblGL);
    startingLowThreshold = -800;
    startingHighThreshold = 10400;
    % Get the histogram
    [pixelCount, grayLevels] = hist(imageToThreshold(:), 300);
    subplot(2, 3, 2); 
    bar(grayLevels, pixelCount, 'BarWidth', 1, 'FaceColor', 'b');
    title('Histogram of Original Double Image', 'FontSize', fontSize);
    xlim([minDblGL, maxDblGL]); % Scale x axis manually.

🎉3 参考文献

文章中一些内容引自网络，会注明出处或引用为参考文献，难免有未尽之处，如有不妥，请随时联系删除。

[1]龙建武,申铉京,陈海鹏.基于图像区域的交互式文本图像阈值分割算法[J].计算机研究与发展, 2012, 49(7):12.DOI:CNKI:SUN:JFYZ.0.2012-07-005.

[2]龙建武申铉京陈海鹏.基于图像区域的交互式文本图像阈值分割算法[J].计算机研究与发展, 2012, 49(7):1420-1431.

[3]兰红.多阈值优化的交互式医学图像分割方法[J].计算机科学, 2013, 40(9):4.DOI:10.3969/j.issn.1002-137X.2013.09.066.

🌈4 Matlab代码实现