shibaji7 / pychips Goto Github PK

Select individual ch boundaries by selecting ROIs (Region of Interests) that include the individual coronal holes for any particular full disk image.

Expected steps:

• Use OpenCV find contours to detect the contours
• Detect the outermost contours
• Set region max/min and darw a square in the figure around it

Segmentations Computed from Different Wavelengths:

• Compute segmentations from 193 Å compared to 171 Å.
• Compute segmentations from 211 Å compared to 171 Å.
• Compute segmentations from 211 Å compared to 193 Å.
• Ensure that CHIPS is utilizing these wavelengths for its operations.

Compute Logical Conjunction:

• Perform a logical conjunction operation on all three detection maps obtained from the above comparisons.
• Logical conjunction involves combining the detection maps such that only regions identified as coronal holes in all three maps are retained.

Overlay and Remove Non-Coronal Hole Regions:

• Overlay the logical conjunction map obtained in the previous step with the CHIPS results.
• Remove regions from the CHIPS results that are not identified as coronal holes in the logical conjunction map.
• This step ensures that only coronal hole regions identified consistently across all wavelength comparisons are retained in the final CHIPS results.

⚠️ Create a different Branch for this enhancement!

Instead of solid/filled contours representing different probabilities, plot contour lines with different colors corresponding to different probabilities. So it's essentially the same plot, but with only line contours with no solid colors, except line colors.

Modification on plotting codes.