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Development of an Image Processing Tool for Fluorescence Microscopy Analysis of Paper Chemistry
Karlstad University, Faculty of Technology and Science.
2010 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Paper making today is, to some extent, based on empirical knowledge. It is wellknown that fines, pH, charge and ion strength affect the manufacture of paper. One way of extending knowledge of the mechanisms of paper chemistry is to follow the trajectories of fines and additives in the paper suspension to gather information as to the manner in which they react. Four tracking algorithms adapted to the needs of this particular problem were implemented in order to track particles effciently. The tracking algorithms include two variants of the well-known "Lucas-Kanade algorithm" and template matching techniques based on cross-correlation and least squares matching. Although these techniques are similar in principle, the actual tracking can nevertheless differ; the Lucas-Kanade algorithms were found to be more invariant to noise, whereas the cross-correlation and least squares methods are more rapid to execute in Matlab. The tracking methods have been evaluated using a simulator to generate image sequences of synthetic particles moving according to Brownian motion. Tracking has also been evaluated on microscope images of real latex particles where the results have been compared to manual tracking. Tracking of both the simulated particles and the latex particles resulted in similar results when compared to known position and manual tracking, respectively.

Abstract [sv]

Tillverkning av papper är till en viss del baserad på empirisk kunskap. Välkänt är att finmaterial, pH värde, laddning och jonstyrka påverkar de papperskemiska mekanismerna och därmed flertalet pappersegenskaper vid tillverkning av papper. En möjlighet att utveckla kunskaperna inom papperskemiska mekanismerar att studera finmaterial och additiv i en pappers suspension for att samla in informationom reaktionsmekanismer. Fyra trackningalgoritmer ar vidareutvecklade i syftet att möjliggöra studier kring papperskemiska mekanismer. Trackningalgoritmerna inkluderar två varianter av den välkända "Lucas-Kanade" algoritm och två template-baserade metoder: korskorrelation och minsta kvadratmetoden. Samtliga metoder bygger på samma princip, men trots detta kan resultaten från trackningen skilja mellan metoderna. Lucas-Kanade algoritmerna är mer oberoende av brus medan korskorrelationen och minsta kvadratmetoden exekveras snabbare i Matlab. Trackning metoderna utvärderades med hjälp av en simulator som genererar bildsekvenser av syntetiska partiklar med en Brownsk rörelse. Trackningen har även använts på mikroskopibilder av rörelsebanor på verkliga suspenderade latex partiklar, varvid trackningresultatet har jämförts med manuell trackning. De genererade bildsekvensernapa de simulerade partiklarna har kända rörelsebanor som är jämförbara med rörelsebanor for latex partiklarna.

Place, publisher, year, edition, pages
2010. , 63 p.
National Category
Other Engineering and Technologies Computer Vision and Robotics (Autonomous Systems) Paper, Pulp and Fiber Technology Chemical Sciences
URN: urn:nbn:se:kau:diva-6990Local ID: ELI-23OAI: diva2:396401
Subject / course
Engineering Physics, Master of Science
Available from: 2011-03-01 Created: 2011-02-09 Last updated: 2016-04-08Bibliographically approved

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Faculty of Technology and Science
Other Engineering and TechnologiesComputer Vision and Robotics (Autonomous Systems)Paper, Pulp and Fiber TechnologyChemical Sciences

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