Trouble Removing Uneven Background Lighting from Image

26 visualizaciones (últimos 30 días)
Nathan
Nathan el 20 de Mayo de 2015
Comentada: Jeff E el 21 de Mayo de 2015
Hello,
As I stated I am having some trouble removing a background from an image. I have tried using imopen, imtophat, and a couple other methods, but all of them result in the same problem. The code considers my entire image as a background. For example, here is my original image.
My code to load it is pretty simple
drop=mat2gray(imread('st000.tif'));
As you can see the illumination is fairly uneven, and when I go to convert it to a bw image it cuts off the last half of the stream. When I try and use imopen to find the background this is what I get.
background = imopen(drop,strel('disk',15));
figure()
imshow(background)
If I use imtophat I get this.
I2 = imtophat(drop,strel('disk',15));
figure()
imshow(I2)
Since this image is a little dark, I tried to enhance it using
I3=imadjust(I2);
figure()
imshow(I3)
which gave me
I can't really use this image, since it is so blurry. I have tried taking a static image with the background, subtracting that from the bw image of the original, and that sort of works.
But as you can see it removed a lot of the resolution on the image, which I think has something to do with how I actually convert it into a bw image. I think I can get a better resolution if I can find a way to make a uniform background before converting it to bw.

Respuesta aceptada

Jeff E
Jeff E el 20 de Mayo de 2015
Try using imbothat instead of imtophat, with a slightly larger kernel size.
I2= imbothat(drop, strel('disk', 30));
worked for me, with the exception of some artifacts around the edge.
  3 comentarios
Nathan
Nathan el 20 de Mayo de 2015
Yes. That fixed the problem exactly. And now I can get hi-res bw images. Thank you very much.
Jeff E
Jeff E el 21 de Mayo de 2015
Use a bigger kernel size. Say, 45 or so. The artifacts around the edges will be bigger, but you'll capture the larger droplets much more effectively.

Iniciar sesión para comentar.

Más respuestas (0)

Categorías

Más información sobre Image Processing Toolbox 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!

Translated by