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wrong number of peaks using topology method. #16
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I looked into it and it appears that the default noise reduction method (fastnl) is not optimal in your case. Update to the latest version with
The persistence will give you more feeling how the peaks are detected. See more information here. |
Thank you for your reply. It really helps me. |
👍🏻 closing this one as it is solved. |
Thank you first for your great library. I'm trying to find number of peaks. The code is below:
![image](https://user-images.githubusercontent.com/44827483/221152762-975731c0-724f-4986-be1d-55a737fce104.png)
![image](https://user-images.githubusercontent.com/44827483/221152897-133839bb-7364-492a-921b-c9077ab9930b.png)
![image](https://user-images.githubusercontent.com/44827483/221153167-112f8c45-4828-4f84-ac7c-02af152fb70f.png)
![image](https://user-images.githubusercontent.com/44827483/221153421-c8d78b81-9c51-49ba-89af-403199d9f76b.png)
My origin image is like this:
fp.plot() shows:
fp.plot_mesh() shows:
It should have 6 peaks but only find 5 (with a wrong peak). Can you please explain it for me? I'll appreciate your help.
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