constructiong 3x3 matrix window

5 次查看（过去 30 天）
FIR
FIR 2012-12-19
I am designing a filter removing impulses noises from an RGB IMAGE
For identifying the noise pixels in the image I need a 3x3 window to slide over the image starting from the first Pixel to the Last.
If the corrupted Pixel is found i have to do some calculation to correct it.
To find this Corrupted Pixel I need a 3x3 Window to slide over my Image.
please send me the code for this

请先登录，再回答此问题。

采纳的回答

Matt J
Matt J 2012-12-19
Hint - the CONV command

更多回答（2 个）

Walter Roberson
Walter Roberson 2012-12-19
blockproc()
  7 个评论
显示 5更早的评论
FIR
FIR 2012-12-19
or
I = imread(...)
kernel = ones(3, 3) / 9; % 3x3 mean kernel
J = conv2(I, kernel, 'same');
Walter Roberson
Walter Roberson 2012-12-19
Matt J is referring to the second of those forms, where you create your own kernel.

请先登录，再进行评论。

Image Analyst
Image Analyst 2012-12-19
FIR, I've ALREADY posted code to get rid of impulse noise. In fact it was to your very own question just a few days ago! Perhaps you've forgotten, or just ignored my answer. Here is the link: http://www.mathworks.com/matlabcentral/answers/56515#answer_68417 If you want to replace noise pixels with blurred pixels, just replace the medfilt2() with conv2() like Matt said, though I don't know why you'd do that because you'd be designing a worse filter.
  6 个评论
显示 4更早的评论
FIR
FIR 2012-12-20
no walter my question is without separating the RGB image to ,R,G,B plane can we directly proceed on RGB IMAGE,i dont want to separate into planes ,is it possible
Walter Roberson
Walter Roberson 2012-12-20
Not using the code posted by Image Analyst. That code could be altered to effectively pull apart the planes without looking like it was pulling apart the planes. You can for example create a routine similar to medfilt2() but which accepts an RGB image and does plane-by-plane filtering internally.
You need to ask yourself, though, what it means to do a median() with respect to values that have three components (R, G, B), and how that differs from [median®, median(G), median(B)] applied individually. The problem becomes rather similar to that of comparing two complex numbers: just as there is no defined sorting order for all P < Q when P and Q are complex, there is also no defined sorting order for all (R1,G1,B1) < (R2,G2,B2) pixels. Without a defined sorting order, you cannot determine median() as median() requires logically fully ordering the values to find which value is in the "middle" of the fully ordered list.

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Image Filtering 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by