An example Analysis of mean filtering in Matlab Image processing

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Due to the imperfection of imaging system, transmission medium and recording equipment, digital images are often polluted by a variety of noises in the process of their formation and transmission.

Image spatial domain filtering belongs to spatial operation methods, such as median filtering and mean filtering, which are mainly used to reduce noise.

The Matlab code written today is mean filtering.

Source code:

Clear all

Close all

Clc

%% read the image to be detected

X = imread ('lena1.jpg')

Xx=x

Figure

Imshow (x)

FR=xx (:,:, 1);% R component

FG=xx (:, 2);% G component

FB=xx (:, 3);% B component

F=1/9*ones (3);% low pass filter to filter out high frequency noise

Filtered_fR=imfilter (fR,f)

Filtered_fG=imfilter (fG,f)

Filtered_fB=imfilter (fB,f)

X_filtered=cat (3 filteredwritten fRpl filteredwritten fG filteredwritten fB)

Figure

Imshow (x_filtered)

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