SiC Image Analysis_m

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Presentation Description

A movie for our project in TSBB11 at Linköping university

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Presentation Transcript

SiC Image Analysis: 

SiC Image Analysis TSBB11 HT11 Richard Ekblad Oscar Grandell Sebastian Jansson Maria Schmitterlöw

Problem: 

Three tasks Segment crystals in raw silicon carbide ( SiC ) Wave patterns and splines in epilayers Heightanalysis of remaining raw SiC Problem

SiC crystal edge detection: 

SiC crystal edge detection Settings Detected crystals

SiC crystal edge detection - Editing: 

SiC crystal edge detection - Editing Editing tools Drawing Join

SiC crystal edge detection - Characteristics: 

SiC crystal edge detection - Characteristics Characteristics ID Polytype Area Orientation

SiC crystal edge detection - Result: 

SiC crystal edge detection - Result Depending on how long you let the algorithm run you get more and more crystals.

Wave patterns and splines in epilayers: 

Wave patterns and splines in epilayers Settings Extra images Result image

Wave patterns and splines in epilayers - Editing: 

Wave patterns and splines in epilayers - Editing Editing tools Easy to use: Just click and draw to edit the result

Wave patterns and splines in epilayers - Result: 

Wave patterns and splines in epilayers - Result Also calculates splines i.e. separations and fusions of lines.

Heightanalysis of remaining raw SiC: 

Heightanalysis of remaining raw SiC Images to calculate height map from Result images

Heightanalysis of remaining raw SiC - Results: 

Heightanalysis of remaining raw SiC - Results Height map All focus image

PowerPoint Presentation: 

Heightanalysis of remaining raw SiC – 3D landscape Normal view Dark slops mode Manual height scale