Borrar filtros
Borrar filtros

sharpening image and removing noise

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chess
chess el 25 de Jul. de 2014
Editada: chess el 4 de Ag. de 2014
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Hi I have an image which I want to do two things with it. 1- I want to remove the background noise 2- I want to detect between the boundary of different parts of image. . Can you suggest me any method to do that?
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chess
chess el 29 de Jul. de 2014
Second image is colormap version after adding median filter plus applying colormap plus erosion to it. You see if I look at the top image more closely . the black region is slightly bigger. I want those parts to be green as well.
chess
chess el 30 de Jul. de 2014
Any suggestion how to change the grayscale image above to the color one when the boundaries are separated.with or without colormap?

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Respuestas (2)

Ben11
Ben11 el 25 de Jul. de 2014
Editada: Ben11 el 25 de Jul. de 2014
If you have the Image Processing Toolbox (to check if you do type 'ver' in the command window), look up "fspecial" which is very handy.
1) Among others you can use a median, mean or gaussian filter (i.e. low-pass) to smooth the image and reduce noise. The median is less sensitive to outliers than the gaussian and preserves considerable details. You can implement this filter like the following using medfilt2, which requires a grayscale image so you need either to use rgb2gray(YourImage) or take individual channels:
for Channel = 1:3
MedianFiltered(:,:,Channel) = medfilt2(YourImage(:,:,Channel),[Radius Radius]);
end
where [Radius Radius] can be modified to span larger areas from which to compute the median. Larger radius yields more blurry images with less details. You can also compute other filters with "fspecial" I mentionned above, like mean or gaussian filters.
If you don't have the Image Processing Toolbox you can make up your own mean filter, for example, using convolution like the following. More info about convolution can be found on Wikipedia here
% Build a 3 x 3 kernel, for example, used to apply the mean filter:
kernel = ones(3,3)/9;
FilteredImage = conv2(YourImage,kernel,'same'); % Keep the size of your original image.
2) The second part of your question looks like an image segmentation problem. Look here for nice examples on the Mathworks website.
Hope that helps!

Spandan Tiwari
Spandan Tiwari el 26 de Jul. de 2014
Also for the image sharpening part, you can use the function IMSHARPEN in the Image Processing Toolbox. It has parameters that you can try to change to sharpen legitimate edges in the image and not noise (although that's not always possible).
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Image Analyst
Image Analyst el 26 de Jul. de 2014
You can use conv2() or imfilter() with the proper kernel (positive in the middle and negative weights surrounding it). But they most likely work for your image as I remember it. (I'm still trying to figure out why you removed your image if you want our help. Most people want to make it easy for people to answer their question, not harder.)
chess
chess el 30 de Jul. de 2014
Any suggestion how to change the grayscale image above to the color one when the boundaries are separated.with or without colormap?

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