Sökning: "Color Segmentation"
Visar resultat 1 - 5 av 26 uppsatser innehållade orden Color Segmentation.
1. A Multi-Variate Regression Analysis on Telecommunication Sites in a Sub-Saharan Country
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : The purpose of this bachelor thesis is to investigate how different variables impact voice and data traffic for a telecom operator that operates in an undisclosed Sub-Saharan African country. The data has been provided by said company. LÄS MER
2. VISUAL ONION GROWTH STAGEDETERMINATION USING CNNS
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : With the growing agricultural sector, the demand for more harvest is increasing. Thus next stepin development is automating the agriculture sector. Onions are widely used in various dishes andhold a significant position as a crop of focus for Ekobot. LÄS MER
3. 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
4. An automated unmanned aerial vehicle – structure from motion pipeline to create analysis-ready digital surface models for coastal monitoring
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Anthropogenic pressure on coastal areas continues to increase, thus intensifying coastal erosion. Coastal monitoring programs are therefore essential to prevent severe ecosystem and economic consequences. Successful coastal monitoring schemes require highly accurate analysis-ready Digital surface models (DSMs) derived using the same workflow. LÄS MER
5. Number Recognition of Real-world Images in the Forest Industry : a study of segmentation and recognition of numbers on images of logs with color-stamped numbers
Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för informationssystem och –teknologiSammanfattning : Analytics such as machine learning are of big interest in many types of industries. Optical character recognition is essentially a solved problem, whereas number recognition on real-world images which can be one form of machine learning are a more challenging obstacle. LÄS MER