Sökning: "segmenteringsalgoritm"
Visar resultat 1 - 5 av 6 uppsatser innehållade ordet segmenteringsalgoritm.
1. Utvärdering av valideringstjänst för lösenord byggd på segmenteringsalogritm : Introducering av Moses segmenteringsalgoritm
Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : Lösenord är viktiga för att skydda användare från otillåten åtkomst till deras tjänster. Sådana tjänster kan både innehålla olika former av personlig information som bankkonto eller streaming tjänster. LÄS MER
2. Computer-Aided Characterization of Lung - Segmentation and Vessel Tree Analysis Algorithms for Clinical Research Applications
Master-uppsats, KTH/FysikSammanfattning : The initial stage of a lung examination involves the segmentation of a CT image, a process that has been put under a lot of pressure with the high demand for chest scans and accurate segmentations. Current automatic segmentation algorithms are either non-robust for different datasets, not easily accessible, or time-consuming. LÄS MER
3. Classification of fishing vessel types using machine learning methods on vessel monitoring system data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The oceans around the world have been heavily impacted by overfishing due to very intensive commercial fishing in recent times. A large number of fish stocks have already been fully exploited. Vessel Monitoring System has been put in place to regulate fishing vessels and enforce sustainable fisheries management. LÄS MER
4. Graph Learning as a Basis for Image Segmentation
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Graph signal processing is a field concerning theprocessing of graphs with data associated to their vertices, oftenin the purpose of modeling networks. One area of this fieldthat has been under research in recent years is the developmentof frameworks for learning graph topologies from such data. LÄS MER
5. Semi-Supervised Medical Image Segmentation with Equivariance Regularization
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : The last decades of research in machine learning and deep learning have lead to enormous advancements in the field. One of the areas that stand to gain the most from this is the medical sector. LÄS MER