Remove noise from image

I have this image and when I'm trying to generate it into the 3D surface it appears some noises in the graph.

Can anyone help me with some noise removal suggestion?

Answer 1

[Akira Agata]

How about applying median filter?

The following is an example:

% Read the image and convert it to grya-scale
I = imread('gray.png');
Igray = rgb2gray(I);

% Apply median filter to the image
Igray2 = medfilt2(Igray,[7 7]);

% Show the result
figure
imshowpair(Igray,Igray2,'montage')

[agung pratama]

Thanks Mr Akira Agata,

Can you explain to me about medfilt and what is [ 7 7 ] standfor?

I'm a newbie in matlab.

[Akira Agata]

It represents the size of the median filter.

When setting [n m], medfilt calculates median value in the m-by-n neighborhood around the corresponding pixel in the input image.

For more details, please reffer to the documentation page.

https://jp.mathworks.com/help/images/ref/medfilt2.html

FYI:

In addition, you can find some other noise removal techniques in the documentation page.

https://jp.mathworks.com/help/images/noise-removal.html

https://jp.mathworks.com/help/images/train-and-apply-denoising-neural-networks.html

[agung pratama]

I get this when i create the 3D surface of the image

How i can get the x,y,z value in mm?

[Akira Agata]

To obtain the x,y,z value in mm, we need to know "pixels per mm" value for x,y,z.

So, if possible, could you provide these values?

[agung pratama]

Im using a 270 ppi and 48 mp camera but i cut the original image, does it matter? this the image properties

[Image Analyst]

That's not enough. That gives you the field of view in pixels, but not in microns or mm. By the way, a 1154 x 1152 image is 1.3 megapixels, far from 48 megapixels - not even close.

[agung pratama]

I search from some paper about fringe pattern they using fast fourier transform and get the value of x,y,z axis in mm