여러 개의 좌표축을 사용하여 이미지 분석의 결과를 표시하는 앱 만들기

 

https://kr.mathworks.com/help/matlab/creating_guis/image-histogram-gui-in-app-designer.html

여러 개의 좌표축을 사용하여 이미지 분석의 결과를 표시하는 앱 만들기 - MATLAB & Simulink - MathWorks

 

 

핵심코드

 

1) methods (Access = Private)

 

1-1) 

function updateImage(app,imagefile)                          % For corn.tif, read the second image in the file             if strcmp(imagefile,'corn.tif')                 im = imread("corn.tif", 2);             else                 try                     im = imread(imagefile);                 catch ME                     % If problem reading image, display error message                     uialert(app.UIFigure,ME.message,"Image Error");                     return;                 end                         end                           % Create histograms based on number of color channels             switch size(im,3)                 case 1                     % Display the grayscale image                     imagesc(app.ImageAxes,im);                                          % Plot all histograms with the same data for grayscale                     histr = histogram(app.RedAxes,im,"FaceColor",[1 0 0],"EdgeColor","none");                     histg = histogram(app.GreenAxes,im,"FaceColor",[0 1 0],"EdgeColor","none");                     histb = histogram(app.BlueAxes,im,"FaceColor",[0 0 1],"EdgeColor","none");                                      case 3                     % Display the truecolor image                     imagesc(app.ImageAxes,im);                                          % Plot the histograms                     histr = histogram(app.RedAxes,im(:,:,1),"FaceColor",[1 0 0],"EdgeColor","none");                     histg = histogram(app.GreenAxes,im(:,:,2),"FaceColor",[0 1 0],"EdgeColor","none");                     histb = histogram(app.BlueAxes,im(:,:,3),"FaceColor",[0 0 1],"EdgeColor","none");                                      otherwise                     % Error when image is not grayscale or truecolor                     uialert(app.UIFigure,"Image must be grayscale or truecolor.","Image Error");                     return;             end                 % Get largest bin count                 maxr = max(histr.BinCounts);                 maxg = max(histg.BinCounts);                 maxb = max(histb.BinCounts);                 maxcount = max([maxr maxg maxb]);                                  % Set y axes limits based on largest bin count                 app.RedAxes.YLim = [0 maxcount];                 app.RedAxes.YTick = round([0 maxcount/2 maxcount],2,"significant");                 app.GreenAxes.YLim = [0 maxcount];                 app.GreenAxes.YTick = round([0 maxcount/2 maxcount],2,"significant");                 app.BlueAxes.YLim = [0 maxcount];                 app.BlueAxes.YTick = round([0 maxcount/2 maxcount],2,"significant");                   end

 

2) Callback Function

 

2-1) 앱이 시작될 때 데이터 로딩 및 초기화를 수행하는 기능

function startupFcn(app)             % Configure image axes             app.ImageAxes.Visible = "off";             app.ImageAxes.Colormap = gray(256);             axis(app.ImageAxes,"image");                          % Update the image and histograms             updateImage(app,"peppers.png");         end

 

 

2-2) 

function DropDownValueChanged(app, event)             updateImage(app,app.DropDown.Value);         end

 

2-3) 

function LoadCustomImageButtonPushed(app, event)             % Display uigetfile dialog             filterspec = {'*.jpg;*.tif;*.png;*.gif','All Image Files'};             [file, path] = uigetfile(filterspec);             % Make sure user didn't cancel uigetfile dialog             if (ischar(path))                fname = [path file];                updateImage(app,fname);             end         end