How to Automatically remove noise using Image historgram based?
3 次查看(过去 30 天)
显示 更早的评论
How to Automatically remove noise using Image historgram based?
2 个评论
KALYAN ACHARJYA
2019-7-23
编辑:KALYAN ACHARJYA
2019-7-23
Can you elaborate the question with sample image?
采纳的回答
Image Analyst
2019-7-23
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.
2 个评论
KALYAN ACHARJYA
2019-7-24
编辑:KALYAN ACHARJYA
2019-7-24
Yes sir, but how do we distinct between noise and information in such images?
Image Analyst
2019-7-29
编辑:Image Analyst
2019-7-29
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
更多回答(1 个)
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!