Essays about: "Split-And-Merge"
Showing result 1 - 5 of 6 essays containing the word Split-And-Merge.
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1. Visualization of Multicenter Cyclones Using Multivariate Data
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : Cyclones are complex weather phenomena, affected by multiple variables such as pressure, wind, temperature and more. Therefore, how cyclones are formed, what affects them and how they can be tracked is still actively researched today. READ MORE
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2. Object Detection and Instance Segmentation of Cables
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis introduces an innovative method to detect and do segmentation of cables for visual inspection. Cables lack significant features and fixed structures, which are difficult to capture with a cluttered background. This method is based on cable color and cable width in a specific scenario. READ MORE
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3. Analysis of autonomous flight algorithms for an unmanned aerial vehicle
University essay from Umeå universitet/Institutionen för fysikAbstract : Unmanned Aerial Vehicles (UAV) have been heavily studied in the past decade, where autonomous flights have been a popular subject. More complex applications have led to higher requirements on the autonomous flight algorithms and the absence of performance data complicates the selection of what algorithm to use for various applications. READ MORE
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4. Fast-forward the Sedimentation of Solid Particles in Protoplanetary Disks
University essay from Lunds universitet/Astronomi - Genomgår omorganisationAbstract : Numerical simulations have become an essential tool for studying particle-gas systems. One such system is the protoplanetary disk consisting of vast number of solid particles interacting with the surrounding gas. READ MORE
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5. Fingerprint Segmentation
University essay from DatateknikAbstract : In this thesis, a new algorithm has been proposed to segment the foreground of the fingerprint from the image under consideration. The algorithm uses three features, mean, variance and coherence. Based on these features, a rule system is built to help the algorithm to efficiently segment the image. READ MORE