Image segmentation gallery

Maps collected to date

• 251222 -- Three thin sections mapped with two resolution settings (two recipes): 16 microns for WDS and 40 microns for EDS
• 251010 -- Mystery mineral. Looks like I was partially through doing the segmentation calculations for this one.
• 240313 -- Alloy. Might be interesting to try segmentation even though phases may be similar and I recall gradient effects. Other project folders with similar dates.
• 240319 -- Somma. Comparing various methods (?) vs HSCA.
• 241007 -- BRC map
• ?????? -- maps for A.C.
• 250318 -- (under J.S.) maps for M.C. and J.S (BAK)
• 241126 -- Lawsonite thin section
• 230501 -- J.P. Norway
• 230504 -- Fork Mountain
• ?????? -- D.M. UKY
• 230717 -- Bris-1
• ?????? -- Brenham
• 230424 -- under J.A. Fe alloy
• ?????? -- Carbonate concretion

Maps that I have actualy processed

Note: at the time of writing, I have adopted the following workflow to process my maps:

1. Use my R segmentation script to calculate PCA images, K-means clusters, and retrieve mean pixel brightness for each element map.
2. Use Inkscape to create a summary document combining PCA map and K-means clusters with a color key.
3. Use ImageJ to retrieve the area percentage of each cluster and come up with a starting guess for the phases represented by each cluster. Then, add this information to the image summary document.
4. Start a thread using Google AI Studio, and ask the following questions (exact prompts given in AI summary documents for each map):
   • Based on the map summary, tell me everything about the rock.
   • Come up with 10 guesses about where the rock was collected.
   • Based on the pixel brightness, verify the phase identities.
   • Calculate the composition of each phase
   • Any other questions specific to the rock (e.g. a P-T-t path in the case of a metamorphic rock
   • Describe the textures present in the uploaded images
   • Choose the most likely sampling location based on all of the available information.
5. Copy and format the AI chat as a .pdf document.
6. Upload everything to this website.

So far, I have not checked any of the AI output for accuracy, but this should be straightforward to do by applying this workflow to a sample for which I know the location and/or composition of the major phases.