如何测量距离现实世界与matlab的照片?

tq先生,但

这就是我得到的编码

1。我需要测量长度的边界框的宽度。2。我将首先从衬衫3删除不需要的噪声。我只有两个手4边界框。如何测量两个边界框。5。我希望它显示宽度如下编码。

如果这是真的clc %代码;%清除命令窗口。关闭所有;%关闭所有数据(除了imtool。)清晰;%擦掉所有现有的变量。或者clearvars如果你想要的。工作空间;%确定工作区面板显示。格式短g;格式紧凑; fontSize = 25; %=============================================================================== % Get the name of the image the user wants to use. baseFileName = 'img1.jpg'; % baseFileName = '1k_100kph_5x20mm.JPG'; % Get the full filename, with path prepended. folder = []; % Determine where demo folder is (works with all versions). fullFileName = fullfile(folder, baseFileName); %=============================================================================== % Read in a demo image. grayImage = imread(fullFileName); % Get the dimensions of the image. % numberOfColorChannels should be = 1 for a gray scale image, and 3 for an RGB color image. [rows, columns, numberOfColorChannels] = size(grayImage) if numberOfColorChannels > 1 % It's not really gray scale like we expected - it's color. % Use weighted sum of ALL channels to create a gray scale image. grayImage = rgb2gray(grayImage); % ALTERNATE METHOD: Convert it to gray scale by taking only the green channel, % which in a typical snapshot will be the least noisy channel. % grayImage = grayImage(:, :, 2); % Take green channel. end % Display the image. subplot(2, 2, 1); imshow(grayImage, []); axis on; axis image; caption = sprintf('Original Gray Scale Image'); title(caption, 'FontSize', fontSize, 'Interpreter', 'None'); drawnow; hp = impixelinfo(); % Set up figure properties: % Enlarge figure to full screen. set(gcf, 'Units', 'Normalized', 'OuterPosition', [0, 0, 1, 1]); % Get rid of tool bar and pulldown menus that are along top of figure. % set(gcf, 'Toolbar', 'none', 'Menu', 'none'); % Give a name to the title bar. set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off') drawnow; % binarize the image. binaryImage = imbinarize(grayImage); % Make sure there is only one blob binaryImage = bwareafilt(binaryImage, 1); % Display the image. subplot(2, 2, 2); imshow(binaryImage, []); axis on; axis image; caption = sprintf('Binary Image'); title(caption, 'FontSize', fontSize, 'Interpreter', 'None'); drawnow; hp = impixelinfo(); % Label the image labeledImage = bwlabel(binaryImage);

%使测量边界框道具= regionprops (labeledImage的边界框(“大小));宽度= props.BoundingBox (3);身高= props.BoundingBox (4);%显示覆盖的盒子里。次要情节(2、2、3);imshow (grayImage []);轴上;轴形象;标题= sprintf(灰度图像与盒子覆盖);标题(标题,字形大小、字形大小、“翻译”,“没有一个”); drawnow; hp = impixelinfo(); hold on; rectangle('Position', props.BoundingBox, 'EdgeColor', 'r', 'LineWidth', 2); message = sprintf('The width = %f.\nThe height = %f', width, height); uiwait(helpdlg(message)); end

然后我试试这个编码,我得到我想要的,只有手和之前我可以尝试结合的编码显示测量。但我需要两个手臂。先生我可以怎么做?

试着用bwareafilt (binaryImage 2)提取两个最大团。或者你可以用它来提取blob只在指定的尺寸范围。

请阅读这个链接

如果真正的代码文件夹% = (C: \ \用户用户\ MATLAB的);baseFileName = (“img11.jpg”);fullFileName = fullfile(文件夹,baseFileName);格式长g;格式紧凑;字形大小= 20;%图像分割img = imread (fullFileName);img = rgb2ycbcr (img);i = 1:尺寸(img, 1) j = 1:尺寸(img, 2) cb = img (i, j, 2);cr = img (i, j, 3); if(~(cr > 132 && cr < 173 && cb > 76 && cb < 126)) img(i,j,1)=235; img(i,j,2)=128; img(i,j,3)=128; end end end img=ycbcr2rgb(img); subplot(2,2,1); image1=imshow(img); axis on; title('Skin Segmentation', 'FontSize', fontSize); set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]); %SEGMENTED IMAGE TO GRAYIMAGE grayImage=rgb2gray(img); subplot(2,2,2); image2=imshow(grayImage); axis on; title('Original Grayscale Image', 'FontSize', fontSize); set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]); %GRAY TO BINARY IMAGE binaryImage = grayImage < 245; subplot(2, 2, 3); axis on; image3=imshow(binaryImage, []); title('Binary Image', 'FontSize', fontSize); % Label the image labeledImage = bwlabel(binaryImage); % label the connected components in an image and assigning each one a unique label measurements = regionprops(labeledImage, 'BoundingBox', 'Area'); for k = 1 : length(measurements) thisBB = measurements(k).BoundingBox; rectangle('Position', [thisBB(1),thisBB(2),thisBB(3),thisBB(4)],... 'EdgeColor','r','LineWidth',2 ) end % Let's extract the second biggest blob - that will be the hand. allAreas = [measurements.Area]; [sortedAreas, sortingIndexes] = sort(allAreas, 'descend'); handIndex = sortingIndexes(2); % The hand is the second biggest, face is biggest. % Use ismember() to extact the hand from the labeled image. handImage = ismember(labeledImage, handIndex); % Now binarize handImage = handImage > 0; % Display the image. subplot(2, 2, 4); image4=imshow(handImage, []); title('Hand Image', 'FontSize', fontSize); end