Hi, i want to correct the non uniform background noise form the image to remove the dependency of the background.I tried the code which is attach but it does not work.Please help me

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Zeeshan Ahmed 2017-12-30

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https://ww2.mathworks.cn/matlabcentral/answers/375030-hi-i-want-to-correct-the-non-uniform-background-noise-form-the-image-to-remove-the-dependency-of-th

评论： Image Analyst 2022-2-16

backgroundcorrection.m

Hi, i want to correct the non uniform background noise form the image to remove the dependency of the background.I tried the code which is attach but it does not work.Please help me

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magate 2017-12-31

Have you tried doing a sliding background subtraction? I would maybe combine that with edge detection to try to not eliminate your data.

Ankit Rathore 2022-2-9

编辑：DGM 2022-2-9

Hey Zeeshan I wanted to connect to you I am working on similar project. Can you hwlp me out?

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Answer 1

DGM 2022-2-9

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https://ww2.mathworks.cn/matlabcentral/answers/375030-hi-i-want-to-correct-the-non-uniform-background-noise-form-the-image-to-remove-the-dependency-of-th#answer_892015

编辑：DGM 2022-2-9

在 MATLAB Online 中打开

That looks like one of IA's demos that's been tinkered with. Since whoever messed with it has left a bunch of obvious typos in it and the OP is long gone, I'm not going to bother fixing that.

To answer the general question, there are various ways depending on the image and the goals.

A = imread('https://www.mathworks.com/matlabcentral/answers/uploaded_files/168296/image.jpeg');

A = rgb2gray(A);

A = imresize(A,0.5); % not going to bother with giant images for a demo

% use grayscale bottomhat filter to estimate BG, subtract

B = imcomplement(imbothat(A,strel('disk',50)));

imshow(B)

%% use imflatfield

C = imflatfield(A,100);

imshow(C)

%% use basic blurring and division

% this is fundamentally the same as imflatfield()

sg = 100;

fk = fspecial('gaussian',[1 1]*2*ceil(3*sg-0.5)+1,sg);

Ad = im2double(A);

m = imfilter(Ad,fk,'replicate');

D = mean(m(:))*Ad./m;

imshow(D)

Once at that point, the image levels can be adjusted with imadjust() or the image can be binarized and cleaned up with basic morphological operations.

ImageAnalyst's demo and his own answer can be found here:

https://www.mathworks.com/matlabcentral/answers/331999-how-to-remove-shadow-from-image

https://www.mathworks.com/matlabcentral/answers/374388-hi-i-am-dealing-with-a-project-in-which-i-have-to-detect-the-defected-rice-grains-from-a-sample-of-r

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Image Analyst 2022-2-16

That last paragraph cannot be emphasized enough! So true!

Even if you do have uniform lighting, your lens will introduce lens shading so you still need to do background correction.

Another nice trick if you have shine, glare, or specular reflection problems is to have a polarizer in front of your lights, and another rotatable one in front of your camera lens. Rotate the polarizer on the lens to reduce or eliminate the specular reflections.

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