Sökning: "Split-And-Merge"
Visar resultat 1 - 5 av 6 uppsatser innehållade ordet Split-And-Merge.
1. Visualization of Multicenter Cyclones Using Multivariate Data
Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : 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. LÄS MER
2. Object Detection and Instance Segmentation of Cables
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
3. Analysis of autonomous flight algorithms for an unmanned aerial vehicle
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : 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. LÄS MER
4. Fast-forward the Sedimentation of Solid Particles in Protoplanetary Disks
Kandidat-uppsats, Lunds universitet/Astronomi - Genomgår omorganisationSammanfattning : 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. LÄS MER
5. Fingerprint Segmentation
Master-uppsats, DatateknikSammanfattning : 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. LÄS MER