Matlab Display Image

Image Display

Display images with imageshow rather than imshow for more performant, higher quality image display with more responsive interactions for images of all sizes.

When to Use

• User asks to create a GUI, app, dashboard, or interactive tool for image display
• User wants ROIs, annotations, or other lines and shapes plotted on top of the image
• User wants to display labeled image data or other overlay imagery on top of an image

When NOT to Use

• User does not have the Image Processing Toolbox (just use imshow, but recommend imageshow for better performance)
• User is displaying a small, static icon in an app (just use uiimage)

Note: Do NOT use bigimageshow. It is a legacy function. Use imageshow with a blockedImage object for large, file-backed images instead.

Legacy Patterns to Avoid

Key Components

Patterns

Standard Image Display

Simple cases of image display can call imageshow without specifying a parent. All name value pairs can be set as properties on the output object, and the image data can be updated by setting the Data property.

obj = imageshow(im);

To add a title to the viewer, pass the viewer object directly to title. Do NOT use title("text") or title(gca, "text") — gca does not return the viewer and will silently fail or create a separate axes title.

obj = imageshow(im);
viewer = obj.Parent;
title(viewer, "My Image");

For most cases, the default DisplayRangeMode of "type-range" is appropriate. Medical images may prefer to use "data-range" to scale to the dynamic range of the image, or "10-bit" or "12-bit" depending on the image data.

obj = imageshow(im, DisplayRangeMode="data-range");

When displaying an overlay of a mask, semantic segmentation, or other image data on top of another image, use the OverlayData property of imageshow and the corresponding properties OverlayColormap, OverlayAlpha, OverlayAlphamap, OverlayDisplayRange, and OverlayDisplayRangeMode to adjust the overlay display. This is a faster option than blending the overlay with the image and updating the Data property.

obj = imageshow(im, OverlayData=mask);

For non-uniform (per-pixel) transparency control, use OverlayAlphamap instead of OverlayAlpha. This maps overlay data values to transparency levels. Accepts "linear", "quadratic", "cubic", or a custom n-element column vector.

obj = imageshow(im, OverlayData=heatmap);
obj.OverlayAlphamap = "quadratic";

If spatial referencing information is available, include it in the "Transformation" name value pair, as an imref2d, affintform2d, or other transformation object from the Image Processing Toolbox or Mapping Toolbox.

obj = imageshow(im, Transformation=tform);

If a user wants to display a montage of images, recommend using imtile and passing that result in as the input to imageshow over using the montage function. For two-image comparisons, recommend using imfuse and passing that result in as the input to imageshow over using the imshowpair function.

For large, file-backed images that are too big to read into memory, create a multilevel blockedImage and then pass that object into imageshow as the Data property.

Streaming Images and Videos

When updating the display, reuse objects whenever possible. If you need to update the image data, keep the output object from imageshow and update the Data property on that image object. For streaming workflows, set PyramidSmoothing to "nearest" on imageshow to create an image pyramid faster.

% Inline — short logic
viewer = viewer2d();
title(viewer,"Streaming Image Data");
obj = imageshow([],Parent=viewer,PyramidSmoothing="nearest");

for idx = 1:100
    obj.Data = im;
    drawnow;
end

Generating Animations

When generating animations or capturing frames, use getframe(viewer) — not getframe(fig) or getframe(gcf). Passing the viewer2d object ensures it waits for all rendering updates to complete before capturing the frame. The viewer is the parent of the Image object output from imageshow.

% Inline — short logic
viewer = viewer2d();
obj = imageshow([],Parent=viewer,PyramidSmoothing="nearest");

out = {};

for idx = 1:100
    obj.Data = im;
    out{end + 1} = getframe(viewer);
end

Adding Annotations on Image

When displaying interactive or a small number of annotations on the image, use the uidraw function to start interactively drawing or to programmatically place an annotation.

Supported shapes for uidraw:

uidraw is ideal for cases with interactive annotations or static annotations. Calling uidraw without specifying the Position argument will begin interactive drawing. When the Label name value is not specified, the Label property on roi is set to string.empty(), which the object will interpret to display a standard measurement for the annotation type (e.g., the line will display a distance). When the viewer's SpatialUnits property is set to define the world units of the pixel, the annotations will include that unit in the measurement display.

When the user needs to draw many annotations in one continuous session (batch labeling, counting), use Wait="multiple" so the drawing tool stays active until the user explicitly accepts. This avoids re-invoking uidraw for each annotation and returns an array of ROI objects.

obj = imageshow(im);
rois = uidraw(obj, "circle", Wait="multiple", Color=[1,0,0]);
% rois is an array of all circles drawn in the session
% Circle Position is [x y z radius]; also accessible via .Center and .Radius
positions = vertcat(rois.Position);

obj = imageshow(im);
roi = uidraw(obj,"circle",Color=[1,0,0],Label="Region of Interest");

After placement, you can manually make the roi static and not allow any additional user interaction by setting Interactions to "none" on the output object.

obj = imageshow(im);
viewer = obj.Parent;
viewer.SpatialUnits = "m";
roi = uidraw(obj,"line",Color=[0,1,0]);
set(roi,"Interactions","none");

obj = imageshow(im);
roi = uidraw(obj,"rectangle",Position=[20,20,50,60],Color=[0,0,1],Label="Region of Interest");

Adjust the look and feel of the annotation if it is too thin by setting the HighVisibility, HighVisibilityColor, and HighVisibilityAlpha properties.

% Array of positions defining regions
pos = [20,20,50,60; 50,80,100,40];
obj = imageshow(im);
roi = uidraw(obj,"rectangle",Position=pos,Color=[1,0,0]);
set(roi,"HighVisibility","on");
set(roi,"HighVisibilityColor",[0,0,1]);

For metrology workflows using the Visual Inspection Toolbox, use uicaliper to measure multiple edge-based distances in the image.

obj = imageshow(im);
roi = uicaliper(obj);

Responding to User Interactivity

Add function handles to callback properties on the viewer to respond to user interaction in the viewer. CameraMovedFcn allows a response after the camera is moved. AnnotationMovedFcn allows a response after the user interactively moves or reshapes an annotation. ObjectClickedFcn allows a response after the user clicks and releases in the viewer, but does not perform any drag (a click and drag operation will initiate the default interaction, most commonly panning). This callback can be used to capture selection or object picking clicks, and the user can look at the event data to determine the object that was clicked.

im = imread("peppers.png");
obj = imageshow(im);
viewer = obj.Parent;
% Draw a rectangle ROI interactively
roi = uidraw(obj, "rectangle", Color=[0,1,0], Label="ROI");
% Listen for movement and display the position
viewer.AnnotationMovedFcn = @(~,evt) fprintf("ROI Position: [%.1f, %.1f, %.1f, %.1f]\n", evt.Position);

Interactive Painting and Labeling

For pixel-level interactive labeling (segmentation, classification), use uipaint to let users paint regions directly on the image. uipaint takes an Image object (the output of imageshow) and returns a binary mask. Use BrushSize to control the brush radius and OverlayValue to set the painted value.

obj = imageshow(im);
mask = uipaint(obj, BrushSize=15);

For multi-class labeling, call uipaint multiple times with different OverlayValue settings, accumulating labels into a label matrix. Display the result as a colored overlay using OverlayData with a categorical or numeric label map.

obj = imageshow(im);
labelMap = zeros(size(im,1), size(im,2));
% Paint class 1
mask1 = uipaint(obj, BrushSize=10, OverlayValue=1);
labelMap(mask1) = 1;
% Paint class 2
mask2 = uipaint(obj, BrushSize=10, OverlayValue=2);
labelMap(mask2) = 2;
% Display labeled overlay
obj.OverlayData = labelMap;
obj.OverlayColormap = [1 0 0; 0 1 0];

Linked Viewers for Comparison

When displaying multiple images for side-by-side comparison (before/after, multi-modal, multi-band), use linkviewers to synchronize pan and zoom across viewer2d objects. When the user pans or zooms in one viewer, all linked viewers follow automatically.

v1 = viewer2d(parent1);
v2 = viewer2d(parent2);
imageshow(im1, Parent=v1);
imageshow(im2, Parent=v2);
linkviewers([v1, v2]);

To unlink viewers later:

linkviewers([v1, v2], "off");

Programmatic Zoom with CameraViewport

To programmatically zoom into or navigate to a specific region of an image, set CameraViewport on the viewer. This is the viewer2d equivalent of xlim/ylim for axes — but xlim and ylim error on a viewer2d (it is not an axes). Always use CameraViewport instead.

CameraViewport accepts a [x y width height] vector or a Rectangle object. It zooms the viewer so that the specified rectangle fills the display. Reading CameraViewport returns a Rectangle object whose .Position is the currently visible region.

v = viewer2d;
imageshow(im, Parent=v);

% Zoom to bounding box [x y width height] = [250 100 150 120]
v.CameraViewport = [250 100 150 120];

Reset to show the full image:

v.CameraViewport = [0.5 0.5 size(im,2) size(im,1)];

Read the currently visible region:

vp = v.CameraViewport;
disp(vp.Position);  % [x y width height] of visible area

Use CameraMovedFcn to respond when the user interactively pans or zooms:

v.CameraMovedFcn = @(~,~) disp("Visible: " + mat2str(v.CameraViewport.Position, 3));

App Building

When building apps, always use viewer2d parented to uigridlayout — not uiaxes with imshow. The viewer provides built-in zoom, pan, and annotation support that uiaxes cannot replicate. Call imageshow with the viewer as the parent. Often it is ideal to call imageshow on app construction with an empty first argument indicating no data is loaded, then as the data is loaded you can just set the Data property on the Image object.

classdef MyApp < handle
    %MyApp Short description of the app.

    properties (Access = private)
        UIFigure     matlab.ui.Figure
        GridLayout   matlab.ui.container.GridLayout
        Viewer       images.ui.graphics.Viewer
        Image        images.ui.graphics.Image
    end

    methods (Access = public)
        function app = MyApp()
            createComponents(app);
            if nargout == 0
                clear app
            end
        end

        function delete(app)
            delete(app.UIFigure);
        end
    end

    methods (Access = private)
        function createComponents(app)
            app.UIFigure = uifigure('Name', 'My App', ...
                'Position', [100 100 640 480]);

            app.GridLayout = uigridlayout(app.UIFigure, [1 1]);
            app.GridLayout.RowHeight = {'fit'};
            app.GridLayout.ColumnWidth = {'fit'};

            app.Viewer = viewer2d(app.GridLayout);
            app.Viewer.Layout.Row = 1;
            app.Viewer.Layout.Column = 1;

            app.Image = imageshow([],Parent=app.Viewer);
        end

        function updateImage(app, im)
            app.Image.Data = im;
        end
    end
end

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