266 lines
11 KiB
Matlab
266 lines
11 KiB
Matlab
function runInteractiveFeatureDetectorGUI(od_imgs, scan_parameter_values, file_list, options, params)
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% Interactive OD image viewer with patch detection
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% Supports slider, arrow keys, editable parameters, and displays scan parameter
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numImages = numel(od_imgs);
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currentFrame = 1;
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%% --- Create figure ---
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% Try to find an existing figure by a unique tag
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hFig = findobj('Type','figure','Tag','InteractiveFeatureDetector');
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if isempty(hFig)
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% If not found, create a new figure
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hFig = figure('Name','OD Image Feature Detector', ...
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'NumberTitle','off', ...
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'Position',[100 100 1275 800], ...
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'KeyPressFcn',@keyPressCallback, ...
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'Tag','InteractiveFeatureDetector'); % <-- unique tag
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else
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% If figure exists, bring it to front
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figure(hFig);
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clf;
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end
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%% --- Axes ---
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hAx = axes('Parent',hFig,'Position',[0.025 0.1 0.6 0.85]);
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%% --- Frame slider ---
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hSlider = uicontrol('Style','slider','Min',1,'Max',numImages,'Value',1,...
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'SliderStep',[1/(numImages-1),10/(numImages-1)],...
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'Units','normalized','Position',[0.075 0.01 0.5 0.025],...
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'Callback',@(~,~) updateFrame());
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%% --- Parameter names ---
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paramNames = {'backgroundDiskFraction',...
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'boundingBoxPadding',...
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'dogGaussianSmallSigma',...
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'dogGaussianLargeSigma',...
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'minPeakProminence',...
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'minPeakFraction',...
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'minimumPatchArea',...
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'shapeMinArea', ...
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'shapeCloseRadius', ...
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'shapeFillHoles', ...
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'intensityThreshFraction', ...
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'edgeSigma', ...
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'edgeThresholdLow', ...
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'edgeThresholdHigh', ...
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'pixelSize', ...
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'magnification'};
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%% --- Parameter display names ---
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displayParamNames = {'Background Disk Fraction',...
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'Bounding Box Padding (px)',...
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'DoG Small Kernel Sigma',...
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'DoG Large Kernel Sigma',...
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'Minimum Peak Prominence',...
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'Minimum Peak Fraction',...
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'Minimum Patch Area (px)',...
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'Minimum Shape Area (px)', ...
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'Morphological Closing Radius (px)', ...
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'Fill Internal Holes (0=false,1=true)', ...
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'Intensity Threshold Fraction', ...
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'Canny Gaussian Smoothing Sigma', ...
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'Canny Low Threshold Fraction', ...
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'Canny High Threshold Fraction', ...
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'Pixel Size (m/px)', ...
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'Imaging System Magnification'};
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%% --- Parameter explanations ---
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paramDescriptions = {'Fraction of image used for background disk in morphological opening', ...
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'Number of pixels to pad around detected cloud bounding box', ...
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'Sigma of small Gaussian in Difference-of-Gaussians (DoG)', ...
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'Sigma of large Gaussian in DoG', ...
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'Minimum prominence for DoG peak detection', ...
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'Minimum fraction of max DoG response for adaptive thresholding', ...
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'Minimum area (pixels) for detected patches', ...
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'Minimum area (pixels) for internal shapes within patches', ...
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'Radius (pixels) used for morphological closing to smooth shapes', ...
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'Fill internal holes to ensure solid shapes (true/false)', ...
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'Fraction of max intensity used to threshold features inside patches', ...
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'Gaussian smoothing sigma used in Canny edge detection', ...
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'Low threshold fraction for Canny edge detector', ...
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'High threshold fraction for Canny edge detector', ...
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'Physical size of one pixel (meters per pixel)', ...
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'Magnification factor of imaging system'};
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nParams = numel(paramNames);
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hEdit = gobjects(nParams,1);
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for i = 1:nParams
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yTop = 0.9 - 0.05*(i-1);
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% Parameter name
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uicontrol('Style','text','Units','normalized',...
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'Position',[0.615 yTop 0.2 0.04],...
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'String',displayParamNames{i},'HorizontalAlignment','left', 'FontSize', 10, 'FontWeight','bold');
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% Parameter value edit box
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hEdit(i) = uicontrol('Style','edit','Units','normalized',...
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'Position',[0.875 yTop 0.1 0.04],...
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'String',num2str(params.(paramNames{i})),...
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'Callback',@(src,~) applyParams());
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% Explanation text below the edit box
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uicontrol('Style','text','Units','normalized',...
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'Position',[0.615 yTop - 0.01 0.35 0.03],...
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'String',paramDescriptions{i},...
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'HorizontalAlignment','left',...
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'FontSize',8,'ForegroundColor',[0.4 0.4 0.4], ...
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'BackgroundColor','none');
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end
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% Apply button
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uicontrol('Style','pushbutton','Units','normalized',...
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'Position',[0.7 yTop - 0.075 0.2 0.05],...
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'String','Apply',...
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'BackgroundColor',[0.2 0.6 1],... % RGB values between 0 and 1
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'ForegroundColor','white',... % Text color
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'FontSize',14, ...
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'FontWeight','bold',...
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'Callback',@(~,~) applyParams());
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% Initial plot
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updateFrame();
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%% --- Nested functions ---
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function applyParams()
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% Update params struct from textboxes
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for j = 1:nParams
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val = str2double(hEdit(j).String);
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if ~isnan(val)
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params.(paramNames{j}) = val;
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end
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end
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updateFrame();
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end
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function updateFrame()
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% Get current image
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idxImg = round(get(hSlider,'Value'));
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img = od_imgs{idxImg}; % numeric image
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[Ny, Nx] = size(img);
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dx = params.pixelSize / params.magnification;
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dy = dx;
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xAxis = ((1:Nx)-(Nx+1)/2) * dx * 1e6; % μm
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yAxis = ((1:Ny)-(Ny+1)/2) * dy * 1e6; % μm
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% Step 1: DoG detection
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[patchProps, patchCentroidsGlobal, imgCropped, xStart, yStart] = Analyzer.detectPatches(img, params);
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results = Analyzer.extractAndClassifyShapes(imgCropped, patchProps, xStart, yStart, params);
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%% Plotting in physical units (μm) ---
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cla(hAx);
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imagesc(hAx, xAxis, yAxis, img);
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axis(hAx,'equal','tight'); colormap(hAx, Colormaps.inferno());
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set(hAx,'FontSize',14,'YDir','normal');
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xlabel(hAx,'x (\mum)','FontSize',14); ylabel(hAx,'y (\mum)','FontSize',14);
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hold(hAx,'on');
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% Draw diagonal overlays
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Helper.drawODOverlays(xAxis(1), yAxis(1), xAxis(end), yAxis(end));
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Helper.drawODOverlays(xAxis(end), yAxis(1), xAxis(1), yAxis(end));
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% Plot patch centroids
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if ~isempty(patchCentroidsGlobal)
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patchCentroidsGlobal_um = [(patchCentroidsGlobal(:,1)-(Nx+1)/2)*dx*1e6, ...
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(patchCentroidsGlobal(:,2)-(Ny+1)/2)*dy*1e6];
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plot(hAx, patchCentroidsGlobal_um(:,1), patchCentroidsGlobal_um(:,2), 'ro','MarkerSize',4,'LineWidth',1);
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end
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% Plot patch ellipses
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for k = 1:numel(patchProps)
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a = patchProps(k).MajorAxisLength/2 * dx * 1e6;
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b = patchProps(k).MinorAxisLength/2 * dy * 1e6;
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phi = deg2rad(-patchProps(k).Orientation);
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theta = linspace(0,2*pi,100);
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R = [cos(phi) -sin(phi); sin(phi) cos(phi)];
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ellipseXY = [a*cos(theta(:)) b*sin(theta(:))]*R';
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cx_um = ((patchProps(k).Centroid(1)+xStart-1)-(Nx+1)/2)*dx*1e6;
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cy_um = ((patchProps(k).Centroid(2)+yStart-1)-(Ny+1)/2)*dy*1e6;
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ellipseXY(:,1) = ellipseXY(:,1) + cx_um;
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ellipseXY(:,2) = ellipseXY(:,2) + cy_um;
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plot(hAx, ellipseXY(:,1), ellipseXY(:,2),'g-','LineWidth',1);
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end
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% Overlay shapes
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for k = 1:numel(results)
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for n = 1:numel(results(k).boundaries)
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bnd = results(k).boundaries{n};
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bx = ((bnd(:,2) - (Nx+1)/2)) * dx * 1e6;
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by = ((bnd(:,1) - (Ny+1)/2)) * dy * 1e6;
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plot(hAx, bx, by, 'c-', 'LineWidth', 1.5);
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end
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end
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hold(hAx,'off');
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% Extract only filename (without path)
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[~, fname, ext] = fileparts(file_list{idxImg});
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shortName = [fname, ext];
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% Update figure title with shot + filename
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hFig.Name = sprintf('Shot %d | %s', idxImg, shortName);
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% Update figure title with image index and patch count
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title(hAx, sprintf('Image %d/%d: Detected %d patches', ...
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idxImg, numImages, numel(patchProps)), ...
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'FontSize',16,'FontWeight','bold');
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% Text handle for scan parameter display
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txtHandle = text(hAx, 0.975, 0.975, '', ...
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'Color', 'white', 'FontWeight', 'bold', ...
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'FontSize', 24, 'Interpreter', 'tex', ...
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'Units', 'normalized', ...
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'HorizontalAlignment', 'right', ...
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'VerticalAlignment', 'top');
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% --- Display scan parameter ---
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if ~isempty(scan_parameter_values)
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val = scan_parameter_values(idxImg);
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% Determine units
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switch lower(options.scanParameterUnits)
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case {'degrees','deg','°'}
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unitStr = '^\circ';
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interpStr = 'tex';
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case {'gauss','g'}
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unitStr = ' G';
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interpStr = 'none';
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otherwise
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unitStr = options.scanParameterUnits;
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interpStr = 'none';
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end
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txtHandle.String = sprintf('%g%s', val, unitStr);
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txtHandle.Interpreter = interpStr;
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end
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% Update slider value
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hSlider.Value = idxImg;
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drawnow;
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end
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function keyPressCallback(event)
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switch event.Key
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case 'rightarrow'
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if currentFrame<numImages
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currentFrame=currentFrame+1;
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set(hSlider,'Value',currentFrame);
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updateFrame();
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end
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case 'leftarrow'
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if currentFrame>1
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currentFrame=currentFrame-1;
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set(hSlider,'Value',currentFrame);
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updateFrame();
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end
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end
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end
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end
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