How to Automatically remove noise using Image historgram based?
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voxey
el 23 de Jul. de 2019
Editada: Image Analyst
el 29 de Jul. de 2019
How to Automatically remove noise using Image historgram based?
2 comentarios
KALYAN ACHARJYA
el 23 de Jul. de 2019
Editada: KALYAN ACHARJYA
el 23 de Jul. de 2019
Can you elaborate the question with sample image?
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Image Analyst
el 23 de Jul. de 2019
I don't believe so, at least not via a global operation, since the noise is likely very close to the local means. So you can't just look at the histogram and say all bright stuff is noise. Perhaps you can use a scanning method where you're looking at the histogram just in a local area and looking for outliers, like a sigma filter or something. There are some very good noise filters out there. For example, you might want to check out imnlmfilt() to do a non-local means noise reduction.
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KALYAN ACHARJYA
el 24 de Jul. de 2019
Editada: KALYAN ACHARJYA
el 24 de Jul. de 2019
Yes sir, but how do we distinct between noise and information in such images?
Image Analyst
el 29 de Jul. de 2019
Editada: Image Analyst
el 29 de Jul. de 2019
The filter makes that distinction, like the median filter assumes that the "signal" will be the median of values in the scanning window. If you have your own knowledge of what is signal and what is noise (even if it's probability distributions), then you can design a custom filter to take that into account.
I'm sure there are probably CT-specific papers on noise removal in medical images here in vision bibliography
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