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| They can be. The data set starts out as a list of {X, Y, Z} points that represents a square image. I then partition the data to have the {x, y} points that pass my filters. |
| Hi Rohit, Adding more feedback to your suggestion, I did try the FindClusters to the raw wavelength data and I got the following "clusters": ![cluster][1] You can see that the algorithm didn't group by discrete wavelength islands or bands,... |
| Update: I linear model fit to subtract out was used to remove the tilt. From there I used as subset of the data to isolate only one of the square pillars and then used that as the Kernel for correlation with the original image. The results is a... |
| Thanks! That worked. |
| I think this sounds right, Cole. With the square pulse in the list being the same duration as the kernel, the max will occur when the correlation has lined up the kernel with the pulse in the list. Since we are indexing to the 1st position in the... |
| I might be misunderstanding your description, but this seems like a problem well-suited for Nest or NestWhile. |