Hello dear Gimp Pros,
bit of an unusual topic
I'm doing chemistry/material research. In part of my research, X-Ray data is created in the form of gray scale images. I wonder if I could use image processing in Gimp (or maybe other software) to enhance my data quality.
The data in the images consists of 3 parts:
1) Reflection points: seen as dark spots in the images. The position, size and shape (round, oval) is part of the data acquisition.
2) Fluorescence: seen as a centered dark shadow.
3) random Noise: single points all overall the image. This noise has a preferential direction (up & down), which is due to the detector type used.
The images can be created in different "Cutoff" levels, which refer to an internal algorithms of the device to remove data from the image, based on the intensity of the recorded signal for each pixel. There are 10 levels.
In one image I marked very weak signal points, that are barely visible. The position of these points can be calculated from the other data points, so there is a point to be expected.
The position and shape of the reflection points is used for further research, so this is the data I would like to extract more precisely.
Is there a possibility to reduce the amount of the noise and fluorescence from the different cutoff levels? The process would have to be a fixed routine without manual work, so it can satisfy scientific standards.
Best regards,
DuroHeci
answer for more images
and the marked image
bit of an unusual topic
I'm doing chemistry/material research. In part of my research, X-Ray data is created in the form of gray scale images. I wonder if I could use image processing in Gimp (or maybe other software) to enhance my data quality.
The data in the images consists of 3 parts:
1) Reflection points: seen as dark spots in the images. The position, size and shape (round, oval) is part of the data acquisition.
2) Fluorescence: seen as a centered dark shadow.
3) random Noise: single points all overall the image. This noise has a preferential direction (up & down), which is due to the detector type used.
The images can be created in different "Cutoff" levels, which refer to an internal algorithms of the device to remove data from the image, based on the intensity of the recorded signal for each pixel. There are 10 levels.
In one image I marked very weak signal points, that are barely visible. The position of these points can be calculated from the other data points, so there is a point to be expected.
The position and shape of the reflection points is used for further research, so this is the data I would like to extract more precisely.
Is there a possibility to reduce the amount of the noise and fluorescence from the different cutoff levels? The process would have to be a fixed routine without manual work, so it can satisfy scientific standards.
Best regards,
DuroHeci
answer for more images
and the marked image