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T. Matsushita 1 QA: Fibre Counting Software 1. Take CCD image of comb/connector 2. Cut noise 3. Find bundles: Nearest Neighbour Clustering, merge clusters.

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Presentation on theme: "T. Matsushita 1 QA: Fibre Counting Software 1. Take CCD image of comb/connector 2. Cut noise 3. Find bundles: Nearest Neighbour Clustering, merge clusters."— Presentation transcript:

1 T. Matsushita 1 QA: Fibre Counting Software 1. Take CCD image of comb/connector 2. Cut noise 3. Find bundles: Nearest Neighbour Clustering, merge clusters then cut small cluster 4. Find fibres in each bundle: Fuzzy C-Means Clustering; assign each pixel to given number of clusters, 7, then check quality of clustering Software incorporated to QA-GUI 1 3 4

2 T. Matsushita 2 QA: Fibre Counting - example Example for correct connectorisation; CCD image Bundle searchFibre search

3 T. Matsushita 3 QA: Fibre Scanning Optical component aligned and lens position optimised for best focus; 50 micro meter width, ~4mm length [Maiko, Henry, Peter] Part of scanning movie is extracted below; around frame #327 swapped fibre between bundles can be seen !

4 T. Matsushita 4 Status Received doublet layers from Fermilab Open the box and start bundling with QA next week Expect connectors 2 nd week of October News: Brunel group performed the first fibre degradation test with UV LED Preliminary result show no noticeable damage with 8 hours of illumination


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