How to highlight a area in figure

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

Rik
Rik am 22 Jan. 2025

What have you tried so far? If you post your code, we can suggest edits more easily.

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?

Melden Sie sich an, um zu kommentieren.

 Akzeptierte Antwort

prabhat kumar sharma
prabhat kumar sharma am 22 Jan. 2025
Verschoben: Mathieu NOE am 22 Jan. 2025

2 Stimmen

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!

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (2)

Image Analyst
Image Analyst am 23 Jan. 2025

1 Stimme

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.

Melden Sie sich an, um zu kommentieren.

xie
xie am 23 Jan. 2025
Verschoben: Walter Roberson am 23 Jan. 2025

0 Stimmen

Maybe I got the simple method: labeloverlay function can meet my request.
imshow(labeloverlay(croppedImage,convHull, 'Colormap','spring','Transparency',0.7));
thank you all!

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by