How to highlight a area in figure

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xie
xie am 22 Jan. 2025
Kommentiert: Image Analyst am 24 Jan. 2025
I want to hightlight the defect in croppedImage.mat by convHull.mat.
It's better set transparent.
the size of two figures is same.
  3 Kommentare
xie
xie am 22 Jan. 2025
Bearbeitet: xie am 22 Jan. 2025
Sorry, I have no idea to combine these two attached figures.
xie
xie am 22 Jan. 2025
maskedImage = croppedImage;
maskedImage(convHull) =0;
imshow(maskedImage)
But I want to change the black portion to transparent. I have no idea. Could you help me?

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Akzeptierte Antwort

prabhat kumar sharma
prabhat kumar sharma am 22 Jan. 2025
Verschoben: Mathieu NOE am 22 Jan. 2025
To highlight an area in a figure and make it transparent, you can use the alpha data property in MATLAB. Here's a step-by-step guide to achieve this:
  1. Load your data: First, load your croppedImage and convHull data.
  2. Create a mask: Use the convHull to create a mask that identifies the region you want to highlight.
  3. Display the image with transparency: Use the imshow function with the 'AlphaData' property to make the highlighted area transparent.
Here's an example code snippet:
% Load the data
load('croppedImage.mat'); % Assuming this loads a variable named croppedImage
load('convHull.mat'); % Assuming this loads a variable named convHull
% Display the original image
imshow(croppedImage);
hold on;
% Create a mask for the highlighted area
highlightMask = false(size(croppedImage));
highlightMask(convHull) = true;
% Overlay the highlighted area with transparency
h = imshow(croppedImage);
set(h, 'AlphaData', ~highlightMask); % Set the non-highlighted part to transparent
% Optional: Add a color to the highlighted area
highlightedArea = imshow(cat(3, ones(size(croppedImage)), zeros(size(croppedImage)), zeros(size(croppedImage))));
set(highlightedArea, 'AlphaData', highlightMask * 0.5); % Adjust transparency level
  1 Kommentar
xie
xie am 22 Jan. 2025
Verschoben: Mathieu NOE am 22 Jan. 2025
Very clear! Good teaching!

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Weitere Antworten (2)

Image Analyst
Image Analyst am 23 Jan. 2025
You can try imoverlay to make the mask overlaid on the image, or you can use plot to plot a red outline at the mask perimeter location in the image.
  2 Kommentare
xie
xie am 23 Jan. 2025
Very good guidance!!!
Image Analyst
Image Analyst am 24 Jan. 2025
imoverlay gives opaque overlays. labeloverlay can give transparent/tinted overlays.

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xie
xie am 23 Jan. 2025
Verschoben: Walter Roberson am 23 Jan. 2025
Maybe I got the simple method: labeloverlay function can meet my request.
imshow(labeloverlay(croppedImage,convHull, 'Colormap','spring','Transparency',0.7));
thank you all!

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