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-1- Barcelona, June 27 th, 20132 nd ITFG Workshop THz Signal & Image Processing
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-2- Barcelona, June 27 th, 20132 nd ITFG Workshop Outline SECTION 1: Alternative configurations –Wide beam configuration (synthetic aperture processing) –Tomographic configuration (tomosynthesis processing) SECTION 2: Challenge of data size –Enhanced visualisation –(Semi-) Automatic defect detection
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-3- Barcelona, June 27 th, 20132 nd ITFG Workshop Outline SECTION 1: Alternative configurations –Wide beam configuration (synthetic aperture processing) –Tomographic configuration (tomosynthesis processing) SECTION 2: Challenge of data amount –Enhanced visualisation –(Semi-) Automatic defect detection
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-4- Barcelona, June 27 th, 20132 nd ITFG Workshop Wide beam configuration THzTHz THzTHz depth azimuth lenses material under test focused beam unfocused beam Top / overhead view THzTHz THzTHz Beam waist Small focused beam Diffraction-limited Data already focused Lateral resolution: 1-3 mm THzTHz depth azimuth material under test Top / overhead view unfocused beam THzTHz THzTHz THzTHz No lenses needed Wide unfocused beam (16º) Data is focused in software Lateral resolution: 4-7 mm in-depth defects Focused FMCW Synthetic Aperture (SA) FMCW
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-5- Barcelona, June 27 th, 20132 nd ITFG Workshop 3-D synthetic aperture imagery Inserts - A-sandwich 100 GHz – Side A Near surface Rohacell coreHoneycomb core
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-6- Barcelona, June 27 th, 20132 nd ITFG Workshop Debonds - A-sandwich - honeycomb core Near surface In depth 100 GHz – Side A 3-D synthetic aperture imagery
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-7- Barcelona, June 27 th, 20132 nd ITFG Workshop 100 GHz – Side B 150 GHz – Side B Near surface Debonds - A-sandwich - Rohacell core 3-D synthetic aperture imagery
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-8- Barcelona, June 27 th, 20132 nd ITFG Workshop Near surface Debonds - C-sandwich - honeycomb core 100 GHz – Side B 150 GHz – Side B 3-D synthetic aperture imagery
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-9- Barcelona, June 27 th, 20132 nd ITFG Workshop 100 GHz – Side A Near surface Impact (30 J) - Solid laminate - fibre glass 100 GHz – Side B 3-D synthetic aperture imagery
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-10- Barcelona, June 27 th, 20132 nd ITFG Workshop Tomographic configuration Data procedure for 3-D imaging Technique for structural reproduction of object In THz the beam is close to a Gaussian distribution Information from reflected or transmitted beam Process of acquisition/reconstruction Acquisition composed of a set of projections Modeled by the Radon transform Tomosynthesis in transmission mode
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-11- Barcelona, June 27 th, 20132 nd ITFG Workshop Tomographic configuration Tomosynthesis in reflection mode View A View B View C Reconstruction of internal structure with more accuracy than unique reflection image Allow to converge to diffraction limit for BOTH lateral and longitudinal resolution
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-12- Barcelona, June 27 th, 20132 nd ITFG Workshop Tomosynthesis Inserts – Solid laminate – Glass fibre 100 GHz – Side A Images at different depths
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-13- Barcelona, June 27 th, 20132 nd ITFG Workshop Outline SECTION 1: Alternative configurations –Wide beam configuration (synthetic aperture processing) –Tomographic configuration (tomosynthesis processing) SECTION 2: Challenge of data size –Enhanced visualisation –(Semi-) Automatic defect detection
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-14- Barcelona, June 27 th, 20132 nd ITFG Workshop Challenge of data size FMCW system 3-D data set – spatial information TDS 3-D data set – spatial information 3-D data set – frequency information CHALLENGE FOR THE OPERATOR DOTNAC Enhanced visualisation for flat and curved samples (Semi-) Automatic defect detection
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-15- Barcelona, June 27 th, 20132 nd ITFG Workshop Defect visualisation Raw image representationProcessed image representation Water inclusion- A-sandwich - Honeycomb core
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-16- Barcelona, June 27 th, 20132 nd ITFG Workshop Defect visualisation Impact (30 J) - Solid laminate - fibre glass
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-17- Barcelona, June 27 th, 20132 nd ITFG Workshop Automatic defect detection Inserts - Solid laminate - fibre glass
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-18- Barcelona, June 27 th, 20132 nd ITFG Workshop Automatic defect detection Inserts - Solid laminate - fibre glass
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-19- Barcelona, June 27 th, 20132 nd ITFG Workshop 3-D Visualisation In-situ test on radome 3-D In-depth viewing 1 screenshot Imaging with FMCW system
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-20- Barcelona, June 27 th, 20132 nd ITFG Workshop Questions?
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-21- Barcelona, June 27 th, 20132 nd ITFG Workshop 21 Questions?
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-22- Barcelona, June 27 th, 20132 nd ITFG Workshop BFP: Backprojection of Filtered Projections W 0 corresponds to the projection P filtered by a ramp filter to increase details A is the weight coefficient between the projection (θ;ρ) and the pixel (i; j) We sum the filtered projections crossing each point March 6th 2012 Reconstruction methods: BFP
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-23- Barcelona, June 27 th, 20132 nd ITFG Workshop SART: Simultaneous Algebraic Reconstruction Technique OSEM (Ordered Subsets Expectation Method) Iterative methods
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