How do I smoothen an imagesc plot?

This plot has alot of noise. I mean the light blue lines are more than normal and i need to smoothen it. I used the smooth function but that does not work properly. I want to make it look like the image below.

Please help.

[KSSV]

Try this: https://de.mathworks.com/help/images/ref/imgaussfilt.html

[Samyak Kumar]

Gaussian Blur is giving the same result.

for i = 1:360

smooth_specbeam(:,i) = imgaussfilt(SpecBeam0(:,i),1);

end

imagesc(squeeze(log10(abs(smooth_specbeam(385:4385, (1:360)))))) % Spectral Beamformed Plot Great Hall

[KSSV]

Why you are using a loop? You apply it to the complete image. Read the documentation.

[Samyak Kumar]

I dont have an image. I have a 2d matrix (6000 x 360), thats why. 'SpecBeam0' is my 2d matrix.

[Image Analyst]

As per my answer below, waiting for you to upload it. And, a 2-D matrix can be considered as a matrix. Do you have the Image Processing Toolbox? Type ver to check?

[Samyak Kumar]

Will this help

[Samyak Kumar]

yes i have image processing toolbox

Answer 1

[Image Analyst]

You could threshold the image and then use bwareaopen() or bwareafilt() to find small blobs and set them to zero.

% Get mask of blobs above the background level.
mask = grayImage < someValue;
% Get a mask of only the small blobs
smallBlobs = bwareafilt(mask, [1, smallestAcceptableArea]);
% Erase image by setting small regions equal to the min value
grayImage(mask) = min(grayImage(:));

You, of course, need to determine the values of someValue and smallestAcceptableArea.

Attach your original gray scale image (not a pseudocolor image in a screenshot like you did) if you need more help.

[Samyak Kumar]

I have attached the image above please see