One algorithm is not enough.
Morphology-aware geometry, transition points, failure taxonomies, uncertainty and validation evidence for complex GAP & FLUSH profiles.
Read articleMASTER'S THESIS · U SENSE IT
G3FLaser Line Profiler
Developing and validating GAP & FLUSH methods for complex profiles
My internship and Master’s thesis focused on the measurement logic that comes after a G3F profile is acquired. I developed new Python GAP and FLUSH algorithms for complex profile morphologies and built GAPFLUSH Studio—a desktop engineering environment for testing and validating those algorithms on real measured profiles. The platform lets me inspect segmentation, execute and compare candidate methods, verify the geometric construction behind each result, analyse failure cases, run repeatable checks across datasets and collect traceable evidence to determine when an algorithm is reliable and when it is not.
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Load measured profile→Inspect segmentation→Run candidate methods→Test & validate→Compare GAP / FLUSH→Analyse & report
real G3F product image
laser-line profiling
