Unsing ginput to reading pixel in graylevel image
7 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Sara
el 14 de Jul. de 2021
Comentada: Image Analyst
el 15 de Jul. de 2021
Hi,
I wondered if anyone knows a function or method used to read the pixel values in an image. Here is what I mean. I have a gray-level image, and I can use the ginput function to select the coordinates. How can I use the ginput to read the intensity value in the gray image as "live" or before select the position? The reason for doing this, I want to know what is the highest intensity value that my ginput pointing to. As you know, some images gradient in the intensity value.
I was reading to the ginput code itself, but I only could change the arrow color instead of black to red. I could not understand or modify the code itself to read the intensity value when I point to the intensity area in the image.
2 comentarios
DGM
el 14 de Jul. de 2021
If your goal is to find the point of highest intensity, why are you using ginput to do it manually? Are you trying to find the highest intensity in a particular user-selected local region? If so, you should realize that you're not likely to have a very good time finding it if your image is scaled for display.
Assuming that's the actual root purpose, you can just define an ROI and find the max within that. For example:
inpict = imread('coins.png');
s = size(inpict);
imshow(inpict); hold on;
P = drawpolygon(); % select one of the coins with a polygon selection
maskedpict = inpict.*uint8(createMask(P));
[mx idx] = max(maskedpict(:)) % max value and linear index
[row col] = ind2sub(s(1:2),idx) % or row and column subs
delete(P);
plot(col,row,'bo') % show max location
Otherwise, you might want to clarify.
Respuesta aceptada
Image Analyst
el 14 de Jul. de 2021
Call impixelinfo():
imshow(yourImage);
impixelinfo; % Show "live" status bar on figure with (x,y) and RGB or gray scale.
2 comentarios
Image Analyst
el 15 de Jul. de 2021
You're welcome. Can you please "Accept this answer" if it worked for you.
Más respuestas (0)
Ver también
Categorías
Más información sobre Convert Image Type en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!