Finding Bragg spots using Cascade Based Feature Extraction and spots in GISAXS Images of Block Co-Polymer Thin Films using Cascade Based Feature Extraction and Circular Hough Transform

Christian Kjelberg, Sina Ariaee, Sergey Chernyy, Kristoffer Almdal, Florian Jung, Christine M. Papadakis, Detlef-M. Smilgies, Anders Lassen, Dorte Posselt

Publikation: KonferencebidragPosterForskningpeer review

Resumé

The real time microphase separation/restructuring behaviour of ~100nm spin-casted ABC miktoarm star ter polymer thin films during solvent vapor annealing under toluene vapour was investigated/monitored using GISAXS. Throughout this investigation a large quantity of 2D GISAXS maps, some of which exhibit Bragg-rods/spots and other features, that tends to drift/move especially along the Q_y axis . By identifying and tracking Bragg-spots in the maps it is possible to graph intensity and position changes of these. For this purpose, two different feature extraction algorithms have been tested: 1) a cascade based algorithm based on the Viola-Jones algorithm[1] and 2) an approach based on Circular Hough Transform. The cascade based algorithm is able to find the Bragg-spots in the dataset tested, consisting of ~3000 maps, with very few false positives / negatives at a rate of ~18 frames per second. The Circular Hough Transform fails for part of the dataset, during the drying stage of vapor annealing, due to changes in Bragg-spot shape but is generally a faster algorithm.
OriginalsprogEngelsk
Publikationsdato22 nov. 2019
StatusUdgivet - 22 nov. 2019

Citer dette

Kjelberg, Christian ; Ariaee, Sina ; Chernyy, Sergey ; Almdal, Kristoffer ; Jung, Florian ; Papadakis, Christine M. ; Smilgies, Detlef-M. ; Lassen, Anders ; Posselt, Dorte. / Finding Bragg spots using Cascade Based Feature Extraction and spots in GISAXS Images of Block Co-Polymer Thin Films using Cascade Based Feature Extraction and Circular Hough Transform.
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title = "Finding Bragg spots using Cascade Based Feature Extraction and spots in GISAXS Images of Block Co-Polymer Thin Films using Cascade Based Feature Extraction and Circular Hough Transform",
abstract = "The real time microphase separation/restructuring behaviour of ~100nm spin-casted ABC miktoarm star ter polymer thin films during solvent vapor annealing under toluene vapour was investigated/monitored using GISAXS. Throughout this investigation a large quantity of 2D GISAXS maps, some of which exhibit Bragg-rods/spots and other features, that tends to drift/move especially along the Q_y axis . By identifying and tracking Bragg-spots in the maps it is possible to graph intensity and position changes of these. For this purpose, two different feature extraction algorithms have been tested: 1) a cascade based algorithm based on the Viola-Jones algorithm[1] and 2) an approach based on Circular Hough Transform. The cascade based algorithm is able to find the Bragg-spots in the dataset tested, consisting of ~3000 maps, with very few false positives / negatives at a rate of ~18 frames per second. The Circular Hough Transform fails for part of the dataset, during the drying stage of vapor annealing, due to changes in Bragg-spot shape but is generally a faster algorithm.",
author = "Christian Kjelberg and Sina Ariaee and Sergey Chernyy and Kristoffer Almdal and Florian Jung and Papadakis, {Christine M.} and Detlef-M. Smilgies and Anders Lassen and Dorte Posselt",
year = "2019",
month = "11",
day = "22",
language = "English",

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Finding Bragg spots using Cascade Based Feature Extraction and spots in GISAXS Images of Block Co-Polymer Thin Films using Cascade Based Feature Extraction and Circular Hough Transform. / Kjelberg, Christian; Ariaee, Sina; Chernyy, Sergey; Almdal, Kristoffer; Jung, Florian; Papadakis, Christine M.; Smilgies, Detlef-M.; Lassen, Anders; Posselt, Dorte.

2019.

Publikation: KonferencebidragPosterForskningpeer review

TY - CONF

T1 - Finding Bragg spots using Cascade Based Feature Extraction and spots in GISAXS Images of Block Co-Polymer Thin Films using Cascade Based Feature Extraction and Circular Hough Transform

AU - Kjelberg, Christian

AU - Ariaee, Sina

AU - Chernyy, Sergey

AU - Almdal, Kristoffer

AU - Jung, Florian

AU - Papadakis, Christine M.

AU - Smilgies, Detlef-M.

AU - Lassen, Anders

AU - Posselt, Dorte

PY - 2019/11/22

Y1 - 2019/11/22

N2 - The real time microphase separation/restructuring behaviour of ~100nm spin-casted ABC miktoarm star ter polymer thin films during solvent vapor annealing under toluene vapour was investigated/monitored using GISAXS. Throughout this investigation a large quantity of 2D GISAXS maps, some of which exhibit Bragg-rods/spots and other features, that tends to drift/move especially along the Q_y axis . By identifying and tracking Bragg-spots in the maps it is possible to graph intensity and position changes of these. For this purpose, two different feature extraction algorithms have been tested: 1) a cascade based algorithm based on the Viola-Jones algorithm[1] and 2) an approach based on Circular Hough Transform. The cascade based algorithm is able to find the Bragg-spots in the dataset tested, consisting of ~3000 maps, with very few false positives / negatives at a rate of ~18 frames per second. The Circular Hough Transform fails for part of the dataset, during the drying stage of vapor annealing, due to changes in Bragg-spot shape but is generally a faster algorithm.

AB - The real time microphase separation/restructuring behaviour of ~100nm spin-casted ABC miktoarm star ter polymer thin films during solvent vapor annealing under toluene vapour was investigated/monitored using GISAXS. Throughout this investigation a large quantity of 2D GISAXS maps, some of which exhibit Bragg-rods/spots and other features, that tends to drift/move especially along the Q_y axis . By identifying and tracking Bragg-spots in the maps it is possible to graph intensity and position changes of these. For this purpose, two different feature extraction algorithms have been tested: 1) a cascade based algorithm based on the Viola-Jones algorithm[1] and 2) an approach based on Circular Hough Transform. The cascade based algorithm is able to find the Bragg-spots in the dataset tested, consisting of ~3000 maps, with very few false positives / negatives at a rate of ~18 frames per second. The Circular Hough Transform fails for part of the dataset, during the drying stage of vapor annealing, due to changes in Bragg-spot shape but is generally a faster algorithm.

M3 - Poster

ER -